# Beste Datenkennzeichnungssoftware für kleine Unternehmen ## How Many Datenkennzeichnungssoftware Products Does G2 Track? **Total Products under this Category:** 116 ### Category Stats (Aug 2026) - **Average Rating:** 4.49/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Datature (+0.08%) - Among all products in this category, Datature recorded the largest rating increase compared to last month _Last updated: August 07, 2026_ ## How Does G2 Rank Datenkennzeichnungssoftware Products? **Warum Sie den Software-Rankings von G2 vertrauen können:** - 30 Analysten und Datenexperten - 1,800+ Authentische Bewertungen - 116+ Produkte - Unvoreingenommene Rankings Die Software-Rankings von G2 basieren auf verifizierten Benutzerbewertungen, strenger Moderation und einer konsistenten Forschungsmethodik, die von einem Team von Analysten und Datenexperten gepflegt wird. Jedes Produkt wird nach denselben transparenten Kriterien gemessen, ohne bezahlte Platzierung oder Einflussnahme durch Anbieter. Während Bewertungen reale Benutzererfahrungen widerspiegeln, die subjektiv sein können, bieten sie wertvolle Einblicke, wie Software in den Händen von Fachleuten funktioniert. Zusammen bilden diese Eingaben den G2 Score, eine standardisierte Methode, um Tools innerhalb jeder Kategorie zu vergleichen. ## G2 Grid® for Datenkennzeichnungssoftware ![G2 Grid® for Datenkennzeichnungssoftware plotting products by satisfaction and market presence](https://www.g2.com/de/categories/data-labeling/grids.png?focus%5B%5D=125020&focus%5B%5D=128515&focus%5B%5D=1563734&focus%5B%5D=168222&focus%5B%5D=126287&focus%5B%5D=78925&focus%5B%5D=91379&focus%5B%5D=1212094) Highlighted products: Roboflow, SuperAnnotate, Outlier AI, Encord, V7 Darwin, Labelbox, Appen, und FiftyOne. Underlying data: [Grid® JSON](https://www.g2.com/de/categories/data-labeling/grids.json?focus%5B%5D=roboflow&focus%5B%5D=superannotate&focus%5B%5D=outlier-ai-outlier-ai&focus%5B%5D=encord&focus%5B%5D=v7-darwin&focus%5B%5D=labelbox&focus%5B%5D=appen&focus%5B%5D=voxel51-fiftyone&segment=small-business) **Sponsored** ### Amazon SageMaker Amazon SageMaker ist ein vollständig verwalteter Dienst, der Datenwissenschaftlern und Entwicklern ermöglicht, Machine-Learning-Modelle (ML) in großem Maßstab zu erstellen, zu trainieren und bereitzustellen. Es bietet eine umfassende Suite von Tools und Infrastruktur, die den gesamten ML-Workflow von der Datenvorbereitung bis zur Modellbereitstellung rationalisiert. Mit SageMaker können Benutzer schnell auf Trainingsdaten zugreifen, Algorithmen auswählen und optimieren sowie Modelle in einer sicheren und skalierbaren Umgebung bereitstellen. Hauptmerkmale und Funktionalität: - Integrierte Entwicklungsumgebungen (IDEs): SageMaker bietet eine einheitliche, webbasierte Oberfläche mit integrierten IDEs, einschließlich JupyterLab und RStudio, die eine nahtlose Entwicklung und Zusammenarbeit ermöglichen. - Vorgefertigte Algorithmen und Frameworks: Es umfasst eine Auswahl optimierter ML-Algorithmen und unterstützt beliebte Frameworks wie TensorFlow, PyTorch und Apache MXNet, was Flexibilität in der Modellentwicklung ermöglicht. - Automatisierte Modelloptimierung: SageMaker kann Modelle automatisch optimieren, um optimale Genauigkeit zu erreichen, wodurch der Zeit- und Arbeitsaufwand für manuelle Anpassungen reduziert wird. - Skalierbares Training und Bereitstellung: Der Dienst verwaltet die zugrunde liegende Infrastruktur, was ein effizientes Training von Modellen auf großen Datensätzen und deren Bereitstellung über automatisch skalierende Cluster für hohe Verfügbarkeit ermöglicht. - MLOps und Governance: SageMaker bietet Tools zur Überwachung, Fehlerbehebung und Verwaltung von ML-Modellen, um robuste Abläufe und die Einhaltung von Unternehmenssicherheitsstandards zu gewährleisten. Primärer Wert und gelöstes Problem: Amazon SageMaker adressiert die Komplexität und ressourcenintensive Natur der Entwicklung und Bereitstellung von ML-Modellen. Durch das Angebot einer vollständig verwalteten Umgebung mit integrierten Tools und skalierbarer Infrastruktur beschleunigt es den ML-Lebenszyklus, reduziert den betrieblichen Aufwand und ermöglicht es Organisationen, effizienter Erkenntnisse und Wert aus ihren Daten zu gewinnen. Dies befähigt Unternehmen, schnell zu innovieren und KI-Lösungen zu implementieren, ohne umfangreiche interne Expertise oder Infrastrukturmanagement zu benötigen. [Website besuchen](https://www.g2.com/de/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2361&secure%5Bchosen_at%5D=2026-08-15T09%3A32%3A26Z&secure%5Bdisplayable_resource_id%5D=2361&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2361&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=52115&secure%5Bresource_id%5D=2361&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fde%2Fcategories%2Fdata-labeling%2Fsmall-business&secure%5Btoken%5D=245d6db99c97266e1012c1209d15f241bc7c7255850f5e986c2f5630fbd8348a&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fsagemaker%2F%3Ftrk%3De054ba95-b51d-4594-98bc-aa0239b1797a%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url) ### [Roboflow](https://www.g2.com/products/roboflow/reviews) Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-end platform for image and video collection, organization, annotation, preprocessing, model training, and deployment. Roboflow provides tools for each step in the computer vision deployment lifecycle and integrates with your existing solutions so you can tailor your pipeline to meet your needs. **Average Rating:** 4.7/5.0 **Total Reviews:** 155 #### How Do G2 Users Rate Roboflow? - **Labeler Quality:** 9.0/10 (Category avg: 8.9/10) - **Object Detection:** 9.1/10 (Category avg: 8.9/10) - **Data Types:** 8.7/10 (Category avg: 8.9/10) - **Ease of Use:** 9.3/10 (Category avg: 8.8/10) #### Who Is the Company Behind Roboflow? - **Seller:** [Roboflow](https://www.g2.com/sellers/roboflow) - **Year Founded:** 2019 - **HQ Location:** Remote, US - **Twitter:** @roboflow 13,577 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=660f87d85fdd82e0f1cecfe2354a16103bb5a6f5508134496575ec655201678c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F36096640&secure%5Burl_type%5D=linkedin_company_website) 144 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Founder, Researcher - **Top Industries:** Computer Software, Research - **Company Size:** 78% Small, 14% Medium #### What Do G2 Reviewers Say About Roboflow? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **intuitive interface** of Roboflow, enabling efficient annotation and seamless collaboration for computer vision projects. - Users value the **efficiency** of Roboflow, praising its streamlined dataset management that saves time and reduces errors. - Users appreciate the **annotation efficiency** of Roboflow, enjoying streamlined dataset management that saves time and reduces errors. - Users appreciate the **easy data labelling process** in Roboflow, which streamlines annotation and enhances team collaboration. - Users appreciate the **powerful and versatile features** of Roboflow, enhancing academic projects and computer vision tasks. ##### Cons - Users find Roboflow **expensive** , especially for students, as key features require paid plans for privacy and customization. - Users note a **lack of features** for advanced analytics and customization on lower-tier plans in Roboflow. - Users find **limited functionality** in Roboflow, facing challenges like feature restrictions and lack of flexibility in advanced tasks. - Users experience **annotation issues** with Roboflow, often needing extensive manual adjustments for accuracy and efficiency. - Users find **inefficient labeling** management cumbersome, needing manual organization and lacking shortcuts for smoother annotation completion. #### What Are Recent G2 Reviews of Roboflow? **["Speeds up our agri‑CV research"](https://www.g2.com/survey_responses/roboflow-review-12692685)** **Rating:** 5.0/5.0 stars _— Alexey K._ [Read full review](https://www.g2.com/survey_responses/roboflow-review-12692685) **["Roboflow Makes Computer Vision Projects Easy to Build, Train, and Deploy"](https://www.g2.com/survey_responses/roboflow-review-12984362)** **Rating:** 5.0/5.0 stars _— noah r._ [Read full review](https://www.g2.com/survey_responses/roboflow-review-12984362) ### [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) SuperAnnotate bridges the gap between cutting-edge AI innovation and the high-quality human data that powers it - helping advanced AI teams build more intelligent models. With a global network of thousands of rigorously vetted experts, ethical and scalable managed operations, precise talent matching, and purpose‑built technology, SuperAnnotate delivers full project visibility and unmatched data quality. SuperAnnotate powers complex annotation, evaluation, and reinforcement learning workflows to build, evaluate and align frontier AI. Trusted by innovators like Databricks, IBM and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate enables the world’s top AI teams to build responsible and state‑of‑the‑art models with human data. **Average Rating:** 4.8/5.0 **Total Reviews:** 354 #### How Do G2 Users Rate SuperAnnotate? - **Labeler Quality:** 9.6/10 (Category avg: 8.9/10) - **Object Detection:** 9.4/10 (Category avg: 8.9/10) - **Data Types:** 9.5/10 (Category avg: 8.9/10) - **Ease of Use:** 9.5/10 (Category avg: 8.8/10) #### Who Is the Company Behind SuperAnnotate? - **Seller:** [SuperAnnotate](https://www.g2.com/sellers/superannotate) - **Company Website:** superannotate.com - **Year Founded:** 2018 - **HQ Location:** San Francisco, CA - **Twitter:** @superannotate 720 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ed4d3a394b0ca2eaac6c63041f9bd1bf14ee26538d356cd977a2b0f50c15f4d1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18999422%2F&secure%5Burl_type%5D=linkedin_company_website) 361 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Student, Data Trainer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 57% Small, 23% Medium #### What Do G2 Reviewers Say About SuperAnnotate? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **intuitive interface** of SuperAnnotate, making large-scale annotation projects easy to manage and efficient. - Users appreciate the **user-friendly interface** of SuperAnnotate, which enhances the efficiency and accuracy of their annotation tasks. - Users value the **annotation efficiency** of SuperAnnotate, enabling quick, consistent, and high-quality annotations across diverse projects. - Users commend the **efficiency** of SuperAnnotate, appreciating the time saved and the streamlined annotation process. - Users value SuperAnnotate for its **high-quality annotations** , ensuring consistent and efficient collaboration and management of projects. ##### Cons - Users notice **performance issues** with SuperAnnotate, particularly related to loading times and occasional technical glitches. - Users experience **slow performance** with SuperAnnotate, particularly during image cropping and handling large projects. - Users find the **difficult learning** curve for advanced features challenging, impacting their overall experience with SuperAnnotate. - Users find the **complexity of the platform** daunting, particularly for new users navigating advanced features. - Users find a **lack of guidance** in SuperAnnotate, making it challenging for newcomers to navigate advanced features effectively. #### What Are Recent G2 Reviews of SuperAnnotate? **["Easy-to-Use Data Organization and Powerful Image-Splitting Tools"](https://www.g2.com/survey_responses/superannotate-review-13146852)** **Rating:** 5.0/5.0 stars _— Doniaa K._ [Read full review](https://www.g2.com/survey_responses/superannotate-review-13146852) **["Streamlined Data Annotation with Ease"](https://www.g2.com/survey_responses/superannotate-review-13215367)** **Rating:** 5.0/5.0 stars _— EMAN S._ [Read full review](https://www.g2.com/survey_responses/superannotate-review-13215367) #### What Are G2 Users Discussing About SuperAnnotate? - [What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?](https://www.g2.com/discussions/what-is-your-experience-with-superannotate-for-data-annotation-and-what-would-you-like-to-see-improved) - 1 comment - [How do I annotate an image in OpenCV?](https://www.g2.com/discussions/how-do-i-annotate-an-image-in-opencv) - [Is SuperAnnotate free?](https://www.g2.com/discussions/is-superannotate-free) - [How do you use SuperAnnotate?](https://www.g2.com/discussions/how-do-you-use-superannotate) - [What is SuperAnnotate?](https://www.g2.com/discussions/what-is-superannotate) - 1 comment, 2 upvotes ### [Outlier AI](https://www.g2.com/products/outlier-ai-outlier-ai/reviews) Outlier AI is a platform that connects human expertise with artificial intelligence to enhance the accuracy, speed, and reliability of AI models. By engaging a global network of over 100,000 experts across more than 50 countries, Outlier AI has facilitated the development of more knowledgeable and impactful AI systems, distributing over $500 million to its contributors. Key Features and Functionality: - Expert-Driven AI Training: Outlier AI leverages the specialized skills of its global expert community to train and refine AI models, ensuring high-quality data annotation and model development. - Flexible Remote Work Opportunities: The platform offers individuals meaningful and accessible job opportunities, allowing experts to contribute remotely and on their own schedules. - Integration with Scale AI: Powered by Scale AI, Outlier AI combines top-tier data infrastructure with advanced anomaly detection capabilities, enhancing the scalability and accuracy of AI solutions. Primary Value and Problem Solved: Outlier AI addresses the challenge of developing reliable and effective AI models by integrating human expertise into the AI training process. This approach not only improves the quality of AI outputs but also provides flexible employment opportunities to a diverse global workforce. By bridging the gap between human intelligence and artificial intelligence, Outlier AI ensures that AI systems are more accurate, efficient, and aligned with real-world applications. **Average Rating:** 4.0/5.0 **Total Reviews:** 14 #### How Do G2 Users Rate Outlier AI? - **Labeler Quality:** 9.6/10 (Category avg: 8.9/10) - **Object Detection:** 9.2/10 (Category avg: 8.9/10) - **Data Types:** 10.0/10 (Category avg: 8.9/10) - **Ease of Use:** 8.1/10 (Category avg: 8.8/10) #### Who Is the Company Behind Outlier AI? - **Seller:** [Outlier AI](https://www.g2.com/sellers/outlier-ai) - **Year Founded:** 2023 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd7fc401ed04daac65acf0d9fb4d1889c1db791ed38161618afccb1b10a73dfa&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftry-outlier&secure%5Burl_type%5D=linkedin_company_website) 28,516 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 100% Small #### What Do G2 Reviewers Say About Outlier AI? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **helpful customer support** team of Outlier AI, enhancing their overall experience and satisfaction. - Users value the **high data accuracy** of Outlier AI, appreciating its commitment to well-thought-out responses. - Users appreciate the **flexibility** of Outlier AI, allowing for remote project work and skill-based freelancing. - Users appreciate the **transparent and fast payment system** of Outlier AI, enhancing their overall experience and satisfaction. - Users highlight the **fast response speed** of Outlier AI, enhancing their overall experience with the platform. ##### Cons - Users note **work interruptions** due to inconsistent project availability and challenging assessments, impacting their overall experience. - Users report **buggy performance** with Outlier AI, leading to inconsistent project assessments and unexpected removals from tasks. - Users are frustrated by the **low compensation** and inconsistent project availability, affecting their overall experience with Outlier AI. - Users note that **performance issues** hinder a faster, smoother experience with Outlier AI, affecting usability. - Users face **poor customer support** with unannounced work changes and inadequate communication from management, causing frustration. #### What Are Recent G2 Reviews of Outlier AI? **["A Developer’s Dream at the Intersection of AI"](https://www.g2.com/survey_responses/outlier-ai-review-12834046)** **Rating:** 4.5/5.0 stars _— Verified User in Computer Software_ [Read full review](https://www.g2.com/survey_responses/outlier-ai-review-12834046) **["Flexible, Seamless Workflow for Meaningful AI Projects"](https://www.g2.com/survey_responses/outlier-ai-review-12904617)** **Rating:** 4.0/5.0 stars _— Verified User in Information Technology and Services_ [Read full review](https://www.g2.com/survey_responses/outlier-ai-review-12904617) ### [Encord](https://www.g2.com/products/encord/reviews) Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant. **Average Rating:** 4.8/5.0 **Total Reviews:** 65 #### How Do G2 Users Rate Encord? - **Labeler Quality:** 9.4/10 (Category avg: 8.9/10) - **Object Detection:** 9.3/10 (Category avg: 8.9/10) - **Data Types:** 9.7/10 (Category avg: 8.9/10) - **Ease of Use:** 9.5/10 (Category avg: 8.8/10) #### Who Is the Company Behind Encord? - **Seller:** [Encord](https://www.g2.com/sellers/encord) - **Year Founded:** 2020 - **HQ Location:** San Francisco, US - **Twitter:** @encord\_team 1,014 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b5b79c871099fa074d165dec60c3345148d0ae005f29a546864b838e8a7500a8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F69557125&secure%5Burl_type%5D=linkedin_company_website) 205 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Hospital & Health Care - **Company Size:** 51% Small, 40% Medium #### What Do G2 Reviewers Say About Encord? _AI-generated summary from verified user reviews_ ##### Pros - Users commend the **responsive customer support** from Encord, ensuring quick assistance during their project needs. - Users praise Encord for its **annotation efficiency** , streamlining workflows and enhancing speed in data curation tasks. - Users value the **intuitive interface and seamless integration** of Encord's annotation tools for efficient data workflow. - Users appreciate the **efficiency** of Encord, highlighting smooth workflows and quick integration that enhances their productivity. - Users value Encord's **intuitive interface and seamless integration** , enhancing their workflows with efficient data curation and support. ##### Cons - Users find **complex automation** challenging, though the supportive team helps navigate the intricacies of custom workflows. - Users find it challenging to stay current due to **frequent updates** , but support from the team is helpful. - Users find the **lack of guidance** challenging due to rapid feature updates, despite helpful customer support. #### What Are Recent G2 Reviews of Encord? **["Strong video labeling platform with excellent support"](https://www.g2.com/survey_responses/encord-review-12281672)** **Rating:** 5.0/5.0 stars _— Angela S._ [Read full review](https://www.g2.com/survey_responses/encord-review-12281672) **["Built for fast model development cycles"](https://www.g2.com/survey_responses/encord-review-12219596)** **Rating:** 5.0/5.0 stars _— Brian E._ [Read full review](https://www.g2.com/survey_responses/encord-review-12219596) ### [V7 Darwin](https://www.g2.com/products/v7-darwin/reviews) V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation. - Create pixel-perfect image and video annotations with Auto-Annotate and SAM for semantic masks, instance segmentation, keypoints, and polygons. - Develop medical AI with tools for DICOM, NIfTI, and WSI annotation, featuring an interface with MPR, 3D rendering, precise crosshairs, windowing, and oblique views. - Accelerate video annotation by up to 10x with AI-assisted auto-tracking for objects across frames. - Manage long videos, multi-camera views, and nested annotation classes. - Design multi-stage review workflows with conditional logic, consensus, and task assignment for your data labeling pipeline. - Organize, filter, and manage large datasets with custom views and tags, enabling real-time team collaboration for annotators, reviewers, and ML engineers. - Scale your annotation projects with professional data labeling services, including certified annotators and experts in various domains (medical, video, LLMs, scientific). You can seamlessly integrate V7 Darwin with your existing tech stack and import/export annotations with ease. Get complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI. **Average Rating:** 4.7/5.0 **Total Reviews:** 55 #### How Do G2 Users Rate V7 Darwin? - **Labeler Quality:** 9.4/10 (Category avg: 8.9/10) - **Object Detection:** 9.4/10 (Category avg: 8.9/10) - **Data Types:** 9.2/10 (Category avg: 8.9/10) - **Ease of Use:** 9.5/10 (Category avg: 8.8/10) #### Who Is the Company Behind V7 Darwin? - **Seller:** [V7](https://www.g2.com/sellers/v7) - **Year Founded:** 2018 - **HQ Location:** London, England - **Twitter:** @v7labs 3,471 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=de877e1b154c6b0c137e7416f2b5d21ab1d53e5f5fc06f8706ec44d415a22436&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fv7labs%2F&secure%5Burl_type%5D=linkedin_company_website) 106 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 55% Small, 35% Medium #### What Do G2 Reviewers Say About V7 Darwin? _AI-generated summary from verified user reviews_ ##### Pros - Users love the **ease of use** of V7 Darwin, simplifying annotation and project management with an intuitive interface. - Users value the **annotation efficiency** of V7 Darwin, enabling easy labeling of complex datasets and improving productivity. - Users find the **automatic annotation tools** of V7 Darwin extremely helpful for easy and efficient dataset labeling. - Users value the **innovative LLM integration** in V7 Darwin, enhancing spreadsheet functionality with rich content support. - Users commend the **efficiency** of V7 Darwin, streamlining HR processes and enhancing productivity through automation. ##### Cons - Users find the **lack of features** frustrating, especially regarding annotation management and export options for datasets. - Users find **missing features** like lacking retraction options and limited export formats frustrating in V7 Darwin. - Users find the **limited features** of V7 Darwin frustrating, desiring more flexibility in annotations and dataset manipulation. - Users are frustrated by the **annotation issues** that hinder their ability to retract or approve submissions smoothly. - Users find the **difficult navigation** of V7 Darwin frustrating, as it hampers their ability to utilize features effectively. #### What Are Recent G2 Reviews of V7 Darwin? **["Comprehensive HRMS for End-to-End Employee Lifecycle Management"](https://www.g2.com/survey_responses/v7-darwin-review-11727041)** **Rating:** 4.0/5.0 stars _— Shiv S._ [Read full review](https://www.g2.com/survey_responses/v7-darwin-review-11727041) **["Easy Video Annotation and Predictive Labeling for Massive Datasets"](https://www.g2.com/survey_responses/v7-darwin-review-12700843)** **Rating:** 4.5/5.0 stars _— Jed D._ [Read full review](https://www.g2.com/survey_responses/v7-darwin-review-12700843) #### What Are G2 Users Discussing About V7 Darwin? - [What is V7 used for?](https://www.g2.com/discussions/what-is-v7-used-for) ### [Labelbox](https://www.g2.com/products/labelbox/reviews) Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Databricks Ventures. **Average Rating:** 4.5/5.0 **Total Reviews:** 48 #### How Do G2 Users Rate Labelbox? - **Labeler Quality:** 9.1/10 (Category avg: 8.9/10) - **Object Detection:** 8.6/10 (Category avg: 8.9/10) - **Data Types:** 8.8/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.8/10) #### Who Is the Company Behind Labelbox? - **Seller:** [Labelbox](https://www.g2.com/sellers/labelbox) - **Year Founded:** 2018 - **HQ Location:** San Francisco, California - **Twitter:** @labelbox 3,489 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=46b35e20f0b8a1bbee233e1f6d5a6d1a72e4e49ac4f1901248ae276388e42159&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flabelbox%2F&secure%5Burl_type%5D=linkedin_company_website) 469 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 46% Small, 38% Medium #### What Do G2 Reviewers Say About Labelbox? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **ease of use** of Labelbox, highlighting its simple setup and accessible features for project management. - Users commend the **easy and fast data labeling** process of Labelbox, enhancing workflow and improving data quality effectively. - Users enjoy the **efficient project management** capabilities of Labelbox, streamlining tasks and enhancing overall organization. - Users value the **AI capabilities** of Labelbox for simplifying data labeling and improving model accuracy effectively. - Users find **easy integrations** with Labelbox, enhancing their experience with a user-friendly interface and quick setup. ##### Cons - Users express frustration with the **lack of features** , feeling limited by the inability to customize and increase task availability. - Users experience **slow performance** with Labelbox, especially when working with large datasets and output visualizations. - Users find Labelbox to have **difficult learning** due to its complexity and slow processing with large datasets. - Users find Labelbox **expensive** and express concerns about the high cost, especially for small-scale users. - Users express frustration with the **slow processing** speed of Labelbox, delaying project initiation and overall experience. #### What Are Recent G2 Reviews of Labelbox? **["LLM Training at it’s finest!"](https://www.g2.com/survey_responses/labelbox-review-11265400)** **Rating:** 4.5/5.0 stars _— Staci T._ [Read full review](https://www.g2.com/survey_responses/labelbox-review-11265400) **["Professional Interface, Simple Setup, Needs Data Update"](https://www.g2.com/survey_responses/labelbox-review-12625977)** **Rating:** 4.0/5.0 stars _— Ashish S._ [Read full review](https://www.g2.com/survey_responses/labelbox-review-12625977) #### What Are G2 Users Discussing About Labelbox? - [How do I create a labeled dataset?](https://www.g2.com/discussions/how-do-i-create-a-labeled-dataset) - [What is label tool?](https://www.g2.com/discussions/what-is-label-tool) - [How do I download Labelbox?](https://www.g2.com/discussions/how-do-i-download-labelbox) - 2 comments - [Is Labelbox open source?](https://www.g2.com/discussions/is-labelbox-open-source) ### [Appen](https://www.g2.com/products/appen/reviews) Appen collects and labels images, text, speech, audio, video, and other data to create training data used to build and continuously improve the world’s most innovative artificial intelligence systems. We offer a state of the art, licensable data annotation platform to annotate training data use cases in computer vision and natural language processing. Our platform enhances accuracy and efficiency through our Smart Labeling and Pre-Labeling features which use Machine Learning to ease human annotations. You choose the level of service and security you want for data collection and annotation, from white-glove managed service to flexible self-service. Our expertise includes having a global crowd of over 1 million skilled contractors who speak over 235 languages and dialects, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally. **Average Rating:** 4.2/5.0 **Total Reviews:** 33 #### How Do G2 Users Rate Appen? - **Labeler Quality:** 8.5/10 (Category avg: 8.9/10) - **Object Detection:** 8.7/10 (Category avg: 8.9/10) - **Data Types:** 8.8/10 (Category avg: 8.9/10) - **Ease of Use:** 8.2/10 (Category avg: 8.8/10) #### Who Is the Company Behind Appen? - **Seller:** [Appen](https://www.g2.com/sellers/appen) - **Year Founded:** 1996 - **HQ Location:** Kirkland, Washington, United States - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b0931c0a7f2c53197a2b59e80de4a7fdfa27c61180c1a3b6c615dca728909c73&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fappen&secure%5Burl_type%5D=linkedin_company_website) 20,647 employees on LinkedIn® - **Ownership:** ASX:APX - **Total Revenue (USD mm):** $244,900 #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 54% Small, 26% Medium #### What Do G2 Reviewers Say About Appen? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **flexibility** of Appen, enabling them to engage in diverse and interesting projects from their cell phones. - Users appreciate the **ease of use** of Appen, enabling task completion effortlessly through their cell phones. - Users appreciate the **flexibility** of Appen, enabling engaging and diverse projects that enhance their work experience. ##### Cons - Users experience frequent **work interruptions** , facing challenges like inconsistent availability and lengthy qualification processes. - Users experience **low compensation** due to inconsistent work availability and monthly payments, affecting income stability. - Users find the **navigation confusing** and experience frequent disconnects, leading to frustration while using Appen. - Users often face **connectivity issues** , experiencing confusion while navigating and frequent disconnections from the app. - Users find the **navigation confusing** , often resulting in unexpected logouts that disrupt their experience with Appen. #### What Are Recent G2 Reviews of Appen? **["Ideal for Freelancers, Simplicity with Room for Support Improvement"](https://www.g2.com/survey_responses/appen-review-12550258)** **Rating:** 5.0/5.0 stars _— Ashish S._ [Read full review](https://www.g2.com/survey_responses/appen-review-12550258) **["Robust Crowdsourcing Platform for AI and Language Tasks"](https://www.g2.com/survey_responses/appen-review-12769449)** **Rating:** 4.0/5.0 stars _— Sina A._ [Read full review](https://www.g2.com/survey_responses/appen-review-12769449) ### [FiftyOne](https://www.g2.com/products/voxel51-fiftyone/reviews) FiftyOne by Voxel51 is the leading data platform for physical AI. Without the right data, even the smartest AI models fail. FiftyOne gives machine learning engineers the power to deeply understand and evaluate their visual datasets—across images, videos, 3D point clouds, geospatial, and medical data. With over 2.8 million open source installs and customers like Walmart, GM, Bosch, Medtronic, and the University of Michigan Health, FiftyOne is an indispensable tool for building computer vision systems that work in the real world, not just in the lab. FiftyOne, combines open-source flexibility with enterprise-grade capabilities to help teams understand and analyze their multimodal data, annotate the right samples, close quality and coverage gaps, and build models that perform reliably in the real world. Proven impact with FiftyOne: ⬆️30% increase in model accuracy ⏱️5+ months of development time saved 📈30% boost in team productivity Learn more about FiftyOne: ✏️Annotation: Adopt smart data selection techniques with auto-labeling and manual workflows to curate first and prioritize the most valuable data to label. 🔍Data Curation and Management: Explore and curate your datasets with precision. Get insights into distribution, diversity, coverage, and more to optimize AI performance. Analyze billions of samples, hosted securely on your infrastructure, whether in the cloud or on-premise. 📊Model Evaluation: Quickly identify what’s driving model failures or successes. From aggregate performance metrics to sample-level diagnostics, diagnose failure modes and edge cases preventing your models from reaching optimal performance in production. At Voxel51, we empower hundreds of thousands of ML engineers around the world to unlock data insights to maximize model performance. **Average Rating:** 4.5/5.0 **Total Reviews:** 25 #### How Do G2 Users Rate FiftyOne? - **Ease of Use:** 8.4/10 (Category avg: 8.8/10) #### Who Is the Company Behind FiftyOne? - **Seller:** [Voxel51](https://www.g2.com/sellers/voxel51) - **Year Founded:** 2018 - **HQ Location:** Ann Arbor, US - **Twitter:** @Voxel51 1,624 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=134956ddf898eacf9ea1c4cb96fac4f9f8b538f1d2309a2a1a7da036e8a2aeac&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvoxel51&secure%5Burl_type%5D=linkedin_company_website) 63 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 68% Small, 24% Medium #### What Are Recent G2 Reviews of FiftyOne? **["Built a working AI coaching plugin on FiftyOne in a hackathon weekend"](https://www.g2.com/survey_responses/fiftyone-review-13227837)** **Rating:** 5.0/5.0 stars _— Paramjeet S._ [Read full review](https://www.g2.com/survey_responses/fiftyone-review-13227837) **["Accessible, Intuitive UI That Makes Dataset Exploration Effortless"](https://www.g2.com/survey_responses/fiftyone-review-13222110)** **Rating:** 5.0/5.0 stars _— Sems K._ [Read full review](https://www.g2.com/survey_responses/fiftyone-review-13222110) ### [CVAT.ai](https://www.g2.com/products/cvat-ai/reviews) Company Overview: CVAT.ai is a global provider of data annotation tools and services, known for developing one of the most popular open-source annotation tools, CVAT. In addition to the open-source platform, we offer professional data labeling services, an Enterprise version of CVAT, as well as consulting and customization services to meet specific client needs. Our team supports businesses and AI researchers worldwide in efficiently managing data annotation for computer vision projects. Key Features: - Popular Open-Source Tool: CVAT is trusted by thousands of developers and organizations globally. - Data Labeling Services: We provide expert data labeling services to handle projects from start to finish. - Enterprise Version of CVAT: The Enterprise version offers advanced features, support, and scalability for larger organizations. - Consulting and Customization: We offer consulting services and can customize CVAT to match your project needs. Learn more about our approach to consulting and feature requests here. - AI-Assisted Automation: Our platform uses AI to enhance labeling efficiency and accuracy. - Team Collaboration: Teams can collaborate seamlessly on large-scale projects. - Customizable and Scalable: CVAT can be adapted to your project size and needs. - Secure: We meet global data privacy and security standards. What We Solve: CVAT.ai helps users reduce manual efforts by making data annotation faster, more accurate, and easy to manage. Through our open-source platform, professional labeling services, consulting, and the Enterprise version, we offer a flexible, comprehensive solution for any computer vision project. **Average Rating:** 4.6/5.0 **Total Reviews:** 32 #### How Do G2 Users Rate CVAT.ai? - **Labeler Quality:** 9.5/10 (Category avg: 8.9/10) - **Object Detection:** 9.3/10 (Category avg: 8.9/10) - **Data Types:** 8.6/10 (Category avg: 8.9/10) - **Ease of Use:** 8.8/10 (Category avg: 8.8/10) #### Who Is the Company Behind CVAT.ai? - **Seller:** [CVAT.ai](https://www.g2.com/sellers/cvat-ai) - **Company Website:** www.cvat.ai - **Year Founded:** 2022 - **HQ Location:** Palo Alto, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3fcff5bc744a0faed9f68d2f3d4c21c790b4a51f28c113fb6952ea0700f32084&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcvat-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 114 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 72% Small, 19% Medium #### What Do G2 Reviewers Say About CVAT.ai? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **exceptional customer support** from CVAT.ai, enhancing their experience with valuable assistance and guidance. - Users commend the **amazing annotation speed** of CVAT.ai, ensuring efficient and high-quality results for complex tasks. - Users value the **customization options** of CVAT.ai, enabling tailored annotation projects and versatile setups. - Users praise the **efficient data management** of CVAT.ai, which enhances workflow and collaboration in medical imaging projects. - Users appreciate the **versatile annotation options** of CVAT.ai, enabling support for various computer vision algorithms. ##### Cons - Users find the platform **difficult to learn** , especially beginners, due to its complexity and time-consuming features. - Users find the **complexity of the interface** can be overwhelming, especially for beginners navigating the features. - Users notice **labeling inconsistencies** in complex cases, though the team quickly addresses feedback to improve accuracy. - Users experience a **lack of features** due to missing support for large 16-bit images in CVAT.ai. - Users experience **slow performance** with CVAT.ai when processing large video files and numerous images. #### What Are Recent G2 Reviews of CVAT.ai? **["Powerful image annotation with prelabeling and review tools"](https://www.g2.com/survey_responses/cvat-ai-review-12936375)** **Rating:** 4.5/5.0 stars _— Katarzyna K._ [Read full review](https://www.g2.com/survey_responses/cvat-ai-review-12936375) **["Model-Assisted CVAT Annotation Turned Weeks of Work Into Days"](https://www.g2.com/survey_responses/cvat-ai-review-12981074)** **Rating:** 4.0/5.0 stars _— Fabian v._ [Read full review](https://www.g2.com/survey_responses/cvat-ai-review-12981074) ### [Clarifai](https://www.g2.com/products/clarifai/reviews) Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow orchestration platform leverages today's modern AI technologies like Large Language Models (LLMs), Large Vision Models (LVMs), and Retrieval Augmented Generation (RAG), data labeling, inference, and more, and is available in cloud, on-premises, or hybrid environments. Founded in 2013, Clarifai has been used to build more than 1.5 million AI models with more than 400,000 users in 170 countries. Learn more at www.clarifai.com. **Average Rating:** 4.3/5.0 **Total Reviews:** 71 #### How Do G2 Users Rate Clarifai? - **Labeler Quality:** 8.3/10 (Category avg: 8.9/10) - **Object Detection:** 8.3/10 (Category avg: 8.9/10) - **Data Types:** 8.3/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) #### Who Is the Company Behind Clarifai? - **Seller:** [Clarifai](https://www.g2.com/sellers/clarifai) - **Year Founded:** 2013 - **HQ Location:** Wilmington, Delaware - **Twitter:** @clarifai 10,922 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8e96cd967f3d17ebfc636080f07d5b87c9155366576feb1d18188684d774aa32&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10064814%2F&secure%5Burl_type%5D=linkedin_company_website) 49 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 62% Small, 27% Medium #### What Do G2 Reviewers Say About Clarifai? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use and powerful features** of Clarifai, enhancing their AI image and text projects. - Users value the **diverse model variety** in Clarifai, enabling tailored solutions for various application scenarios efficiently. - Users highlight the **accuracy and efficiency of Clarifai's AI technology** , making it a great choice for diverse projects. - Users find Clarifai's **intuitive UI** easy to navigate, enhancing their experience with powerful pre-trained models. - Users commend Clarifai for its **easy AI integration** , enabling fast and accurate tagging for various application scenarios. ##### Cons - Users find the **cost prohibitively expensive** for small projects, hindering accessibility for individual developers and non-profits. - Users find the **complexity** of Clarifai challenging, especially regarding documentation and advanced feature understanding. - Users find the **learning curve steep** for new users, making initial navigation and understanding challenging. - Users express concern over the **lack of resources** , particularly for small developers, impacting accessibility and usability. - Users find the **poor documentation** of Clarifai frustrating, often requiring external help for guidance and clarity. #### What Are Recent G2 Reviews of Clarifai? **["Powerful AI Platform for Computer Vision and Multimodal Workflows"](https://www.g2.com/survey_responses/clarifai-review-13188111)** **Rating:** 4.0/5.0 stars _— Jeni J._ [Read full review](https://www.g2.com/survey_responses/clarifai-review-13188111) **["Clarifai Makes Building and Deploying AI for Image, Video, and Text Easy"](https://www.g2.com/survey_responses/clarifai-review-13221971)** **Rating:** 4.5/5.0 stars _— LOKESH G._ [Read full review](https://www.g2.com/survey_responses/clarifai-review-13221971) ### [Datature](https://www.g2.com/products/datature/reviews) Datature is an AI Vision platform that simplifies computer vision development by unifying data labeling, model training, and deployment into a single workflow. By eliminating the need for fragmented tools and complex infrastructure, teams can focus on solving real-world problems. **Average Rating:** 4.9/5.0 **Total Reviews:** 39 #### How Do G2 Users Rate Datature? - **Labeler Quality:** 9.5/10 (Category avg: 8.9/10) - **Object Detection:** 9.9/10 (Category avg: 8.9/10) - **Data Types:** 8.9/10 (Category avg: 8.9/10) - **Ease of Use:** 9.5/10 (Category avg: 8.8/10) #### Who Is the Company Behind Datature? - **Seller:** [Datature](https://www.g2.com/sellers/datature) - **Year Founded:** 2020 - **HQ Location:** San Francisco, US - **Twitter:** @DatatureAI 168 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=63ff7ae5a5cc37c5d990c326e31c4bcfe336374f4a4d8bc4267e834b2e8dc247&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatature%2F&secure%5Burl_type%5D=linkedin_company_website) 23 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Research - **Company Size:** 64% Small, 28% Large #### What Do G2 Reviewers Say About Datature? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **efficiency** of Datature, enabling quick data labeling and streamlined model training for faster project progress. - Users value the **annotation efficiency** of Datature, streamlining their machine learning projects with user-friendly tools. - Users find Datature to be **extremely user-friendly** , simplifying data labeling and model training for all skill levels. - Users value the **extensive model types** and options in Datature, praising its support and user-friendly design. - Users appreciate the **efficient AI capabilities** of Datature, enhancing data labeling and model training processes significantly. ##### Cons - Users find **limited customization options** in Datature may hinder advanced users seeking more control over their setups. - Users experience **annotation tool clarity issues** , yet prompt support in Slack helps resolve problems quickly. - Users experience a **difficult learning curve** when setting up labeling jobs, despite finding model building easy. - Users face a **difficult setup** for labeling jobs, which may hinder their initial experience with Datature. - Users note the **high cost** of Datature, which may be a barrier for personal users despite its quality. #### What Are Recent G2 Reviews of Datature? **["Impressive range of CV models makes custom Vision AI projects easy"](https://www.g2.com/survey_responses/datature-review-12102117)** **Rating:** 4.5/5.0 stars _— Phil B._ [Read full review](https://www.g2.com/survey_responses/datature-review-12102117) **["Extremely User-Friendly Platform Backed by a Kind and Committed Team"](https://www.g2.com/survey_responses/datature-review-13081746)** **Rating:** 5.0/5.0 stars _— Sam R._ [Read full review](https://www.g2.com/survey_responses/datature-review-13081746) ### [Taskmonk](https://www.g2.com/products/taskmonk/reviews) Taskmonk is the enterprise AI training data platform for teams that need annotation to work at production scale, not pilot scale. It's one of the few platforms that handles six data modalities: text, image, audio, video, LiDAR, and DICOM in a single environment, so teams aren't stitching together separate tools once a project moves past standard computer vision. Built for annotation teams, project managers, and AI leads alike, Taskmonk pairs a no-code workflow builder with AI-assisted labeling and QA that holds up at scale: • No-code/low-code workflows that adapt per project without engineering time • AI-assisted labeling and model-assisted pre-labeling that cut annotation hours and lift throughput • Multi-stage QA like gold sets, consensus, adjudication, plus affinity-based task routing by annotator performance, not just role • SOC 2 Type II and ISO 27001 compliance, with HIPAA and data residency available for regulated industries Taskmonk has processed 480M+ annotation tasks and 6M+ labeling hours for 10+ Fortune 500 clients, including Flipkart, Myntra, and LG, saving clients $10M+ to date. Teams can also plug in a vetted, SLA-backed annotation workforce on the same platform, so there's one contract and one escalation path instead of sourcing labeling talent separately **Average Rating:** 4.6/5.0 **Total Reviews:** 17 #### How Do G2 Users Rate Taskmonk? - **Labeler Quality:** 9.3/10 (Category avg: 8.9/10) - **Object Detection:** 9.2/10 (Category avg: 8.9/10) - **Data Types:** 9.7/10 (Category avg: 8.9/10) - **Ease of Use:** 9.2/10 (Category avg: 8.8/10) #### Who Is the Company Behind Taskmonk? - **Seller:** [Taskmonk](https://www.g2.com/sellers/taskmonk) - **Year Founded:** 2018 - **HQ Location:** Bengaluru, Karnataka, India - **Twitter:** @TaskmonkAI 16 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1d6fc148b17fe971252bbfff900d04da0cb064fa240b87046de8c9b9bcd442f6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftaskmonk%2F&secure%5Burl_type%5D=linkedin_company_website) 28 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 72% Small, 22% Large #### What Do G2 Reviewers Say About Taskmonk? _AI-generated summary from verified user reviews_ ##### Pros - Users find Taskmonk to be **incredibly easy to use** , with a quick setup and intuitive interface for all levels. - Users commend Taskmonk for its **exceptional customer support** , noting their responsiveness and dedication to helping clients succeed. - Users highlight the **efficiency** of Taskmonk, enabling quick setups and seamless project management for high-volume tasks. - Users value the **intuitive interface and robust features** of Taskmonk, making data labeling efficient and user-friendly. - Users commend the **quick and easy setup** of Taskmonk, enabling rapid onboarding and seamless integration into workflows. ##### Cons - Users find the **lack of features** limits advanced reporting and flexibility, affecting usability and experience. - Users find the **difficult learning** curve challenging, especially for beginners navigating the complex UI. - Users find the **complexity of the UI** overwhelming, particularly with the number of options presented at once. - Users experience occasional **technical difficulties** , but the Taskmonk team quickly resolves issues and provides solutions. - Users find **upload issues** frustrating, particularly with cloud restrictions and delays during peak times impacting efficiency. #### What Are Recent G2 Reviews of Taskmonk? **["Impressive Product!"](https://www.g2.com/survey_responses/taskmonk-review-11562637)** **Rating:** 4.0/5.0 stars _— Aditya N._ [Read full review](https://www.g2.com/survey_responses/taskmonk-review-11562637) **["A beginner-friendly, fast, and highly customisable tool for any type of process."](https://www.g2.com/survey_responses/taskmonk-review-11752427)** **Rating:** 5.0/5.0 stars _— JAYAPRAKASH K._ [Read full review](https://www.g2.com/survey_responses/taskmonk-review-11752427) ### [Dataloop](https://www.g2.com/products/dataloop-dataloop/reviews) Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI development process, making it simpler and more intuitive to work with data and AI models. Our comprehensive solution spans the full AI development lifecycle, offering tools and functionalities that streamline data management, annotation, model selection, and deployment. Dataloop's platform is built with a focus on collaboration, allowing developers, data scientists, and engineers to work together seamlessly, breaking down traditional silos and fostering innovation. Key features include an intuitive drag-and-drop interface for constructing data pipelines, a vast library of pre-built AI elements and models, and robust data curation and annotation capabilities. These features are designed to empower developers to rapidly prototype, iterate, and deploy AI solutions, keeping pace with the fast-evolving demands of the market. Dataloop is committed to advancing AI development by providing a developer-centric platform that addresses the complexities and challenges of AI and data management. Our vision is to democratize AI development, enabling every organization to harness the power of AI and drive forward their innovative solutions. **Average Rating:** 4.4/5.0 **Total Reviews:** 87 #### How Do G2 Users Rate Dataloop? - **Labeler Quality:** 8.8/10 (Category avg: 8.9/10) - **Object Detection:** 9.2/10 (Category avg: 8.9/10) - **Data Types:** 9.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.8/10 (Category avg: 8.8/10) #### Who Is the Company Behind Dataloop? - **Seller:** [Dataloop](https://www.g2.com/sellers/dataloop) - **Year Founded:** 2017 - **HQ Location:** Herzliya, IL - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=da9efd7c177fd7b05cc561f5bccd297b04f67ce9561db7a8c8492155b1c98891&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataloop&secure%5Burl_type%5D=linkedin_company_website) 52 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 39% Medium, 33% Small #### What Do G2 Reviewers Say About Dataloop? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Dataloop, finding the intuitive UI and annotation simple and effective. - Users appreciate the **annotation efficiency** of Dataloop, enjoying a simple interface that enhances the overall experience. - Users value the **easy annotation** capabilities of Dataloop, benefitting from its simple and intuitive interface. - Users love the **simple and easy-to-navigate interface** of Dataloop, enhancing their overall experience with the tool. - Users appreciate the **easy integrations** of Dataloop, enhancing their existing workflows effortlessly. ##### Cons - Users find the **UI changes complicated** , making the overall experience with Dataloop less intuitive. - Users find the **confusing syntax** of Dataloop frustrating, particularly after recent UI changes that impacted usability. - Users find the **difficult navigation** due to UI changes to be confusing, impacting their overall experience. - Users feel that the **lack of communication** from the community is hindering their overall experience with Dataloop. - Users feel the lack of a **demo section for first-time users** hinders their onboarding experience with Dataloop. #### What Are Recent G2 Reviews of Dataloop? **["I have had a smooth and convenient time every day I am working on Dataloop"](https://www.g2.com/survey_responses/dataloop-review-9624539)** **Rating:** 5.0/5.0 stars _— Mzamil J._ [Read full review](https://www.g2.com/survey_responses/dataloop-review-9624539) **["A journey into Data workflow with Dataloop."](https://www.g2.com/survey_responses/dataloop-review-9633025)** **Rating:** 4.0/5.0 stars _— Dennis R._ [Read full review](https://www.g2.com/survey_responses/dataloop-review-9633025) #### What Are G2 Users Discussing About Dataloop? - [What are data annotations?](https://www.g2.com/discussions/dataloop-what-are-data-annotations) - 1 comment - [What are data annotations?](https://www.g2.com/discussions/what-are-data-annotations) - 1 comment - [Is Dataloop free?](https://www.g2.com/discussions/dataloop-is-dataloop-free) - 1 comment - [Is Dataloop free?](https://www.g2.com/discussions/is-dataloop-free) - 1 comment - [What are the industries that Dataloop supports?](https://www.g2.com/discussions/dataloop-what-are-the-industries-that-dataloop-supports) - 1 comment ### [Datasaur](https://www.g2.com/products/datasaur/reviews) Datasaur offers the most intuitive interface for all your Natural Language Processing related tasks. **Average Rating:** 4.5/5.0 **Total Reviews:** 66 #### How Do G2 Users Rate Datasaur? - **Labeler Quality:** 8.9/10 (Category avg: 8.9/10) - **Object Detection:** 8.3/10 (Category avg: 8.9/10) - **Data Types:** 8.6/10 (Category avg: 8.9/10) - **Ease of Use:** 9.2/10 (Category avg: 8.8/10) #### Who Is the Company Behind Datasaur? - **Seller:** [Datasaur](https://www.g2.com/sellers/datasaur) - **Year Founded:** 2019 - **HQ Location:** San Francisco Bay Area, California - **Twitter:** @datasaurai 261 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=07e24f5105db75a643ab99013e56cec5bb628429f73712ae498f72c63729a68a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatasaur%2F&secure%5Burl_type%5D=linkedin_company_website) 67 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 36% Medium, 35% Small #### What Are Recent G2 Reviews of Datasaur? **["Datasaur Delivers Strong Data Privacy and Secure, Flexible Deployment"](https://www.g2.com/survey_responses/datasaur-review-13227124)** **Rating:** 4.5/5.0 stars _— Vaishnavi D._ [Read full review](https://www.g2.com/survey_responses/datasaur-review-13227124) **["Streamlining Enterprise AI Data Workflows"](https://www.g2.com/survey_responses/datasaur-review-13182886)** **Rating:** 5.0/5.0 stars _— Vikas K._ [Read full review](https://www.g2.com/survey_responses/datasaur-review-13182886) #### What Are G2 Users Discussing About Datasaur? - [What is Datasaur used for?](https://www.g2.com/discussions/what-is-datasaur-used-for) - 1 comment, 1 upvote ### [Labellerr](https://www.g2.com/products/labellerr/reviews) Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs. Use cases it supports are object detection, segmentation, classification, image captioning, transcription, and translation. The active learning feature has helped users save 1000s USD per task. Labellerr recently launched LabelGPT which labels images using a prompt. It leverages the combination of generative AI models to label data in minutes rather than months. **Average Rating:** 4.8/5.0 **Total Reviews:** 21 #### How Do G2 Users Rate Labellerr? - **Labeler Quality:** 9.9/10 (Category avg: 8.9/10) - **Object Detection:** 9.7/10 (Category avg: 8.9/10) - **Data Types:** 9.9/10 (Category avg: 8.9/10) - **Ease of Use:** 9.6/10 (Category avg: 8.8/10) #### Who Is the Company Behind Labellerr? - **Seller:** [Tensor Matics Inc.](https://www.g2.com/sellers/tensor-matics-inc) - **Year Founded:** 2017 - **HQ Location:** Wilmington, Delaware - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=749408052147c16d8ba3abf3fc8cb33848c43636f6a5480940487b19ee6bc953&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftensormatics%2F&secure%5Burl_type%5D=linkedin_company_website) 2 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 57% Small, 38% Medium #### What Do G2 Reviewers Say About Labellerr? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **annotation efficiency** of Labellerr, valuing the high quality and smooth collaboration it offers. - Users value the **excellent collaboration** features of Labellerr, enhancing teamwork and annotation quality. - Users appreciate the **responsive customer support** of Labellerr, noting their team's constant availability and assistance. - Users highlight the **high annotation quality** of Labellerr, enabling effective collaboration and accurate data collection. - Users commend the **high efficiency** of Labellerr, noting exceptional collaboration and top-notch annotation quality. ##### Cons - Users find the **difficult setup** of Labellerr time-consuming, impacting the ease of collaboration initially. #### What Are Recent G2 Reviews of Labellerr? **["Incredible solution and support team"](https://www.g2.com/survey_responses/labellerr-review-9089700)** **Rating:** 5.0/5.0 stars _— Aswin M._ [Read full review](https://www.g2.com/survey_responses/labellerr-review-9089700) **["LabellErr annotation partnership for waste image computer vision"](https://www.g2.com/survey_responses/labellerr-review-10840868)** **Rating:** 5.0/5.0 stars _— Laurent M._ [Read full review](https://www.g2.com/survey_responses/labellerr-review-10840868) - ‹ Prev ‹ Prev - 1 - [2](/de/categories/data-labeling/small-business?order=g2_score&page=2#product-list) - [Next › Next ›](/de/categories/data-labeling/small-business?order=g2_score&page=2#product-list) Spotlight-Kategorien [Digitale Erlebnisplattformen (DXP)](https://www.g2.com/de/categories/digital-experience-platforms-dxp) [Bewerber-Tracking-Systeme (ATS)](https://www.g2.com/de/categories/applicant-tracking-systems-ats) [Low-Code-Entwicklungsplattformen](https://www.g2.com/de/categories/low-code-development-platforms) [Bot-Plattformen-Software](https://www.g2.com/de/categories/bot-platforms) [Elektronischer Datenaustausch (EDI) Software](https://www.g2.com/de/categories/electronic-data-interchange-edi) Ähnliche Kategorien - [Aktive Lernwerkzeuge](/de/categories/active-learning-tools) - [Agentische KI](/de/categories/agentic-ai) - [KI-Avatar-Generatoren](/de/categories/ai-avatar-generators) - [KI-Gateways](/de/categories/ai-gateways) - [KI-Governance-Tools](/de/categories/ai-governance-tools) - [KI-Notizsoftware](/de/categories/ai-note-taking-software) - [KI-Orchestrierung](/de/categories/ai-orchestration) - [AI-Vorschlag-Generator-Tools](/de/categories/ai-proposal-generator-tools) - [AI-Suchsichtbarkeitsoptimierungstools](/de/categories/ai-search-visibility-optimization-tools) - [AI-Sicherheitslage-Management (AI-SPM) Tools](/de/categories/ai-security-posture-management-ai-spm-tools) - [KI-Sicherheitslösungen](/de/categories/ai-security-solutions) - [KI-Storyboard-Generatoren](/de/categories/ai-storyboard-generators) - [KI-Sprachassistenten](/de/categories/ai-voice-assistants) - [KI-Sprachdiktat](/de/categories/ai-voice-dictation) - [KI-Schreibassistent](/de/categories/ai-writing-assistant) [Browse Datenkennzeichnung Themes](/de/categories/data-labeling/themes)