Best Data Labeling Software for Small Business

How Many Data Labeling Software Products Does G2 Track?

Total Products under this Category: 139

Category Stats (Oct 2026)

  • Average Rating: 4.51/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Snorkel AI (+1.52%) - Among all products in this category, Snorkel AI recorded the largest rating increase compared to last month

Last updated: October 01, 2026

How Does G2 Rank Data Labeling Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,900+ Authentic Reviews
  • 139+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Labeling Software

G2 Grid® for Data Labeling Software plotting products by satisfaction and market presence

Highlighted products: Roboflow, SuperAnnotate, Outlier AI, Encord, CVAT, V7 Darwin, Clarifai, and Labelbox.

Underlying data: [Grid® JSON](https://www.g2.com/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=cvat&focus%5B%5D=v7-darwin&focus%5B%5D=clarifai&focus%5B%5D=labelbox&segment=small-business)

Roboflow

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: 160

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: 8.8/10)
  • Ease of Use: 9.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Roboflow?

  • Seller: Roboflow
  • Year Founded: 2019
  • HQ Location: Remote, US
  • Twitter: @roboflow
    13,577 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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 ease of use of Roboflow, enabling efficient model training and collaboration with a user-friendly interface.
  • Users highlight Roboflow's efficiency in dataset management, streamlining tasks and significantly saving time and reducing errors.
  • Users value the annotation efficiency of Roboflow, enjoying time savings and reduced errors in dataset management.
  • Users love how Roboflow's data labeling simplifies collaboration, annotation, and export processes, saving time and reducing errors.
  • Users appreciate the powerful and versatile features of Roboflow, making it ideal for academic and large-scale projects.
Cons
  • Users find the cost prohibitive for advanced features, especially students needing budget-friendly options.
  • Users note the limited features of Roboflow, as some advanced options require higher-tier plans and constraints exist.
  • Users experience limited functionality in Roboflow, particularly with advanced features and flexibility for complex tasks.
  • Users find annotation issues with Roboflow, especially in auto-labeling and polygon marking for complex images.
  • Users find inefficient labeling processes cumbersome, especially in team environments with a lack of automation and shortcuts.

What Are Recent G2 Reviews of Roboflow?

SuperAnnotate

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: 356

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: 8.8/10)
  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind SuperAnnotate?

  • Seller: SuperAnnotate
  • Company Website:
  • Year Founded: 2018
  • HQ Location: San Francisco, CA
  • Twitter: @superannotate
    720 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    413 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 enjoy the intuitive interface of SuperAnnotate, which simplifies large-scale annotation projects and boosts collaboration.
  • Users enjoy the user-friendly interface of SuperAnnotate, facilitating efficient and accurate annotations with powerful tools.
  • Users praise the annotation efficiency of SuperAnnotate, appreciating its time-saving features and user-friendly interface.
  • Users highlight the efficiency of SuperAnnotate, enabling quick, high-quality annotations with user-friendly tools and collaboration features.
  • Users value the high-quality annotations provided by SuperAnnotate, enhancing efficiency and ensuring consistency across projects.
Cons
  • Users have noted performance issues with SuperAnnotate, including slow loading times for large projects and technical glitches.
  • Users often face slow performance, experiencing lag and hanging when cropping images and labeling tasks on SuperAnnotate.
  • Users find the difficult learning curve challenging, particularly with advanced features and large datasets requiring time to master.
  • Users find the complexity for new users of SuperAnnotate challenging, especially with advanced tools and features.
  • Users find the lack of guidance challenging, making the learning curve steep for new users of SuperAnnotate.

What Are Recent G2 Reviews of SuperAnnotate?

What Are G2 Users Discussing About SuperAnnotate?

Outlier AI

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: 8.8/10)
  • Ease of Use: 8.1/10 (Category avg: 8.8/10)

Who Is the Company Behind Outlier AI?

  • Seller: Outlier AI
  • Year Founded: 2023
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    29,937 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 appreciate the helpful customer support of Outlier AI, enhancing their overall experience and satisfaction.
  • Users value the data accuracy of Outlier AI, appreciating its commitment to precise and thoughtful responses.
  • Users appreciate the flexible and remote project opportunities provided by Outlier AI for skill-based freelancing.
  • Users appreciate the transparent and fast payment system of Outlier AI, enhancing their overall satisfaction with the platform.
  • Users praise the fast response speed of Outlier AI, enhancing their overall user experience and satisfaction.
Cons
  • Users experience frustrating work interruptions due to inconsistent project availability and poor communication from management.
  • Users report buggy performance that causes unexpected project removals and fluctuating work availability, impacting their overall experience.
  • Users express frustration with low compensation and inconsistent project availability, hindering their overall experience with Outlier AI.
  • Users find the performance issues of Outlier AI hinder the overall user experience and usability of the platform.
  • Users frequently face poor customer support, leading to confusion and frustration with abrupt project changes and management communication.

What Are Recent G2 Reviews of Outlier AI?

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Encord

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: 8.8/10)
  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Encord?

  • Seller: Encord
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @encord_team
    1,014 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    216 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 praise Encord for its responsive customer support, ensuring quick solutions and seamless collaboration during projects.
  • Users commend Encord for its annotation efficiency, appreciating the smooth workflow and intuitive interface that enhances productivity.
  • Users value the intuitive interface and powerful AI features of Encord, enhancing their data annotation efficiency significantly.
  • Users value the efficiency of Encord, experiencing smooth workflows and quick data integration that accelerates their processes.
  • Users value the intuitive interface and comprehensive features of Encord, enhancing efficiency in data curation and annotation.
Cons
  • Users find that custom workflows can be challenging, but support from the team helps mitigate the difficulties.
  • Users find it challenging to keep up with frequent updates from Encord, despite support from their customer success team.
  • Users find it challenging to keep up with best practices due to frequent feature updates from Encord.

What Are Recent G2 Reviews of Encord?

CVAT

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: 4.5/5.0

Total Reviews: 53

How Do G2 Users Rate CVAT?

  • Labeler Quality: 9.6/10 (Category avg: 8.9/10)
  • Object Detection: 9.3/10 (Category avg: 8.9/10)
  • Data Types: 8.6/10 (Category avg: 8.8/10)
  • Ease of Use: 8.7/10 (Category avg: 8.8/10)

Who Is the Company Behind CVAT?

  • Seller: CVAT.ai
  • Company Website:
  • Year Founded: 2022
  • HQ Location: 2810 N Church St Suite 88367 Wilmington, DE 19802
  • LinkedIn® Page: www.linkedin.com
    116 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 81% Small, 13% Medium

What Do G2 Reviewers Say About CVAT?

AI-generated summary from verified user reviews

Pros
  • Users commend the annotation efficiency of CVAT.ai, noting impressive speed and quality in handling complex tasks.
  • Users appreciate the intuitive and efficient interface of CVAT.ai, enhancing the annotation process for large datasets.
  • Users commend the efficiency of CVAT.ai, highlighting its intuitive interface and seamless collaboration for large datasets.
  • Users commend the high quality of CVAT.ai's annotations, highlighting impressive speed and effective collaboration.
  • Users commend the excellent customer support from CVAT.ai, facilitating smooth resolutions to technical challenges.
Cons
  • Users find the platform difficult to learn, particularly for beginners who may feel overwhelmed by its functions.
  • Users find the complexity of CVAT.ai challenging, particularly for beginners struggling to navigate its functions.
  • Users face labeling issues due to inconsistent approaches, but support promptly addresses these concerns to improve accuracy.
  • Users note the lack of support for large 16-bit images, which limits functionality and usability in their workflows.
  • Users experience slow performance when handling very large video files and thousands of images on CVAT.ai.

What Are Recent G2 Reviews of CVAT?

V7 Darwin

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: 8.8/10)
  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind V7 Darwin?

  • Seller: V7
  • Year Founded: 2018
  • HQ Location: London, England
  • Twitter: @v7labs
    3,471 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    105 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 admire the ease of use of V7 Darwin, finding it intuitive and efficient for managing HR tasks.
  • Users value the annotation efficiency of V7 Darwin, streamlining repetitive tasks and enhancing accuracy in processes.
  • Users praise the easy-to-use annotation tools of V7 Darwin, enhancing project efficiency and quality control.
  • Users commend the intuitive UI and comprehensive functionalities of V7 Darwin, enhancing HR management and efficiency.
  • Users appreciate the efficiency of V7 Darwin, which simplifies tasks and enhances productivity in HR management.
Cons
  • Users find the lack of features in V7 Darwin, such as file manipulation and intuitive navigation, disappointing.
  • Users desire missing features in V7 Darwin, such as polygon manipulation and improved export options for datasets.
  • Users find the limited features of V7 Darwin frustrating, particularly in annotations and dataset management capabilities.
  • Users experience annotation issues, including inability to retract submissions and lacking shortcuts for approval.
  • Users find the difficult navigation of V7 Darwin challenging, requiring time to adapt to its complex interface.

What Are Recent G2 Reviews of V7 Darwin?

What Are G2 Users Discussing About V7 Darwin?

Clarifai

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: 76

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: 8.8/10)
  • Ease of Use: 8.4/10 (Category avg: 8.8/10)

Who Is the Company Behind Clarifai?

  • Seller: Clarifai
  • Year Founded: 2013
  • HQ Location: Wilmington, Delaware
  • Twitter: @clarifai
    10,922 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 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 appreciate Clarifai for its impressive models and flexibility, enhancing image and video recognition effectively.
  • Users value the easy AI tools of Clarifai, enabling fast and accurate image and video recognition effortlessly.
  • Users value the model variety in Clarifai, enabling tailored solutions with impressive flexibility and ease of integration.
  • Users appreciate the cutting-edge AI integration of Clarifai, enabling accurate image and video recognition through customizable models.
  • Users appreciate the cutting-edge AI capabilities of Clarifai, especially for image and video recognition tasks.
Cons
  • Users find the platform expensive for small-scale developers, as costs can accumulate quickly with usage.
  • Users find the complexity of setup and documentation challenging, especially for newcomers to the platform.
  • Users find the learning curve steep for Clarifai, particularly for those new to machine learning platforms.
  • Users face a lack of resources, hindering accessibility for small-scale developers and non-profits seeking affordable options.
  • Users often find the poor documentation of Clarifai lacking detail, hindering their ability to maximize its features.

What Are Recent G2 Reviews of Clarifai?

Labelbox

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: 8.8/10)
  • Ease of Use: 9.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Labelbox?

  • Seller: Labelbox
  • Year Founded: 2018
  • HQ Location: San Francisco, California
  • Twitter: @labelbox
    3,489 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    482 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 find Labelbox extremely easy to use, simplifying project management and enhancing productivity for data training.
  • Users appreciate the easy and efficient data labeling process of Labelbox, enhancing workflow and model accuracy.
  • Users value the efficiency of Labelbox, appreciating its smooth setup and seamless project management capabilities.
  • Users appreciate the AI capabilities of Labelbox, simplifying data labeling and enhancing model accuracy effortlessly.
  • Users find easy integrations in Labelbox beneficial, enabling a seamless setup and user-friendly experience for all.
Cons
  • Users express frustration over the lack of features, citing limited task claims and minimal customization options.
  • Users report slow performance when handling large datasets, impacting efficiency and user experience significantly.
  • Users find Labelbox to have a difficult learning curve due to its complexity and slower processing with large data sets.
  • Users find the high cost daunting, especially small scale users who may struggle with affordability despite great features.
  • Users experience slow processing with Labelbox, leading to long waits for project initiation and completion.

What Are Recent G2 Reviews of Labelbox?

What Are G2 Users Discussing About Labelbox?

Appen

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: 8.8/10)
  • Ease of Use: 8.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Appen?

  • Seller: Appen
  • Year Founded: 1996
  • HQ Location: Kirkland, Washington, United States
  • LinkedIn® Page: www.linkedin.com
    21,182 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 and engaging diversity of tasks on Appen, enhancing their work experience and enjoyment.
  • Users appreciate the ease of use of Appen, allowing task completion conveniently via their cell phones.
  • Users appreciate the flexibility of Appen, allowing them to engage in diverse and interesting projects.
Cons
  • Users experience frequent work interruptions due to inconsistent project availability and navigation issues, affecting income reliability.
  • Users find the low compensation and inconsistent work availability makes Appen unreliable for a steady income.
  • Users find the navigation confusing and experience frequent logouts, impacting their usability of Appen.
  • Users often experience connectivity issues with Appen, leading to confusion and frequent disconnections.
  • Users find the navigation confusing and report frequent disconnections, impacting their overall experience with Appen.

What Are Recent G2 Reviews of Appen?

Voxel51

Voxel51 is the end-to-end multimodal platform for physical AI. It gives machine learning teams a unified environment to search unstructured data, curate datasets, manage and QA annotations, evaluate models, and investigate failure modes across images, video, 3D, and time-series data. With over 5 million downloads, Voxel51 is used by organizations of all sizes, from startups to enterprises including Porsche, Ford, Sony, LG, and Hyundai. Researchers at Google, Microsoft, and NVIDIA also use Voxel51 to build state-of-the-art physical AI datasets. Voxel51 gives teams deep visibility into their data before, during, and after model training. Teams can visualize synchronized sensor streams, surface quality issues and outliers, identify coverage gaps, prioritize valuable samples for labeling, manage annotation workflows, and analyze model performance. Voxel51 Agent can automate this repetitive data work while keeping engineers in control of the workflow. By bringing exploration, curation, annotation, evaluation, and automation into one platform, Voxel51 helps teams spend less time building custom data tooling and more time improving their models. Customers report up to a 30% increase in model accuracy, more than five months of development time saved, and 50× faster data curation.

Average Rating: 4.5/5.0

Total Reviews: 24

How Do G2 Users Rate Voxel51?

  • Ease of Use: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Voxel51?

  • Seller: Voxel51
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Ann Arbor, US
  • Twitter: @Voxel51
    1,624 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    56 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 71% Small, 25% Medium

What Are Recent G2 Reviews of Voxel51?

Datature

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: 41

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: 9.0/10 (Category avg: 8.8/10)
  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Datature?

  • Seller: Datature
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @DatatureAI
    168 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Research
  • Company Size: 63% Small, 27% Large

What Do G2 Reviewers Say About Datature?

AI-generated summary from verified user reviews

Pros
  • Users find Datature's efficiency in data labeling and model training significantly enhances their project progress and productivity.
  • Users value the annotation efficiency of Datature, noting its user-friendly tools and seamless workflow for projects.
  • Users find Datature's ease of use remarkable, simplifying computer vision projects without coding and enhancing efficiency.
  • Users value the extensive model management options in Datature, facilitating efficient bespoke computer vision model training.
  • Users praise Datature for its efficient AI capabilities, enhancing data labeling and model training with user-friendly tools.
Cons
  • Users feel the limited customization options may restrict advanced users who prefer more control and flexibility.
  • Users report annotation issues due to unclear instructions, though help is often available quickly through support channels.
  • Users find a difficult learning curve for setting up labeling jobs, despite the ease of model building.
  • Users find the difficult setup process challenging, particularly in starting and configuring labelling jobs effectively.
  • Users note the expensive price tag of Datature, which may be a drawback for personal use.

What Are Recent G2 Reviews of Datature?

Datasaur

Datasaur offers the most intuitive interface for all your Natural Language Processing related tasks.

Average Rating: 4.4/5.0

Total Reviews: 83

How Do G2 Users Rate Datasaur?

  • Labeler Quality: 9.2/10 (Category avg: 8.9/10)
  • Object Detection: 8.4/10 (Category avg: 8.9/10)
  • Data Types: 8.2/10 (Category avg: 8.8/10)
  • Ease of Use: 9.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Datasaur?

  • Seller: Datasaur
  • Year Founded: 2019
  • HQ Location: San Francisco Bay Area, California
  • Twitter: @datasaurai
    261 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 37% Medium, 36% Small

What Are Recent G2 Reviews of Datasaur?

What Are G2 Users Discussing About Datasaur?

Taskmonk

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: 8.8/10)
  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Taskmonk?

  • Seller: Taskmonk
  • Year Founded: 2018
  • HQ Location: Bengaluru, Karnataka, India
  • Twitter: @TaskmonkAI
    16 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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 highlight the ease of use of Taskmonk, praising its intuitive interface and quick onboarding for beginners.
  • Users commend the exceptional customer support of Taskmonk, highlighting their responsiveness and commitment to user success.
  • Users commend Taskmonk for its efficiency, enabling quick onboarding and seamless handling of high-volume data annotation projects.
  • Users commend Taskmonk for its intuitive interface and robust features, making high-volume data labeling effortless and efficient.
  • Users highlight the quick setup and onboarding of Taskmonk, making it easy to start using the platform swiftly.
Cons
  • Users find Taskmonk has a lack of features, particularly in reporting and user interface flexibility.
  • Users find the difficult learning curve challenging for beginners, suggesting a need for a more user-friendly interface.
  • Users find the UI complexity daunting, especially newcomers, due to the overwhelming number of visible options.
  • Users experience occasional technical difficulties, though prompt support and solutions enhance overall satisfaction with Taskmonk.
  • Users face upload issues due to delays during peak times and limited local options for LiDAR projects.

What Are Recent G2 Reviews of Taskmonk?

Dataloop

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: 8.8/10)
  • Ease of Use: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Dataloop?

  • Seller: Dataloop
  • Year Founded: 2017
  • HQ Location: Herzliya, IL
  • LinkedIn® Page: www.linkedin.com
    45 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 find Dataloop's ease of use impressive, highlighting intuitive navigation and seamless integration into workflows.
  • Users value the annotation efficiency of Dataloop, appreciating its easy-to-use and intuitive interface.
  • Users appreciate the easy annotation capabilities of Dataloop, complimented by its simplistic and user-friendly interface.
  • Users appreciate the simple and easy-to-navigate user interface of Dataloop, enhancing their overall experience.
  • Users appreciate the easy integrations offered by Dataloop, enhancing their existing workflows effortlessly.
Cons
  • Users find the UI complexity of Dataloop confusing after recent changes, impacting their overall experience.
  • Users find the confusing syntax in Dataloop's UI changes impact their overall experience negatively.
  • Users find the difficult navigation after UI changes to be confusing and disruptive to their experience.
  • Users feel there is a lack of communication from the community, impacting support and user engagement.
  • Users suggest a lack of guidance in Dataloop, particularly for first-time users needing a demo section.

What Are Recent G2 Reviews of Dataloop?

What Are G2 Users Discussing About Dataloop?

Labellerr

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: 8.8/10)
  • Ease of Use: 9.6/10 (Category avg: 8.8/10)

Who Is the Company Behind Labellerr?

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 commend the annotation efficiency of Labellerr, highlighting the quality and seamless collaboration it offers.
  • Users appreciate the excellent collaboration of Labellerr, highlighting the strong teamwork and high-quality annotations.
  • Users appreciate the responsive customer support of Labellerr, noting the team's constant availability for assistance.
  • Users commend the excellent annotation quality of Labellerr, enhancing accuracy and team collaboration.
  • Users commend the efficiency of Labellerr, highlighting teamwork and high-quality annotations that enhance productivity.
Cons
  • Users find the difficult setup process of Labellerr to be time-consuming and challenging for collaboration.

What Are Recent G2 Reviews of Labellerr?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated