# Top Free Data Labeling Software

## How Many Data Labeling Software Products Does G2 Track?

**Total Products under this Category:** 115

### Category Stats (Jul 2026)

- **Average Rating:** 4.49/5 (↓0.02 vs Jun 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: July 27, 2026_

## How Does G2 Rank Data Labeling Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 1,800+ Authentic Reviews
- 115+ 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](https://www.g2.com/categories/data-labeling/grids.png?focus%5B%5D=128515&focus%5B%5D=125020&focus%5B%5D=168222&focus%5B%5D=78925&focus%5B%5D=87452&focus%5B%5D=142739&focus%5B%5D=126287&focus%5B%5D=1181523)

Highlighted products: SuperAnnotate, Roboflow, Encord, Labelbox, Amazon Sagemaker Ground Truth, Sama, V7 Darwin, and Keymakr.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-labeling/grids.json?focus%5B%5D=superannotate&focus%5B%5D=roboflow&focus%5B%5D=encord&focus%5B%5D=labelbox&focus%5B%5D=amazon-sagemaker-ground-truth&focus%5B%5D=sama&focus%5B%5D=v7-darwin&focus%5B%5D=keymakr)

**Sponsored**

### JFrog

JFrog Ltd. (Nasdaq: FROG), the creators of the unified DevOps, DevSecOps, DevGovOps and MLOps platform, is on a mission to create a world of software delivered without friction from development to production. Driven by a “Liquid Software” vision to keep software continuously flowing, secure, and always up to date, the JFrog Platform serves as the definitive software supply chain system of record. It is uniquely engineered to power organizations as they build, manage, and distribute trusted software with unprecedented speed, security, and scale across hybrid and multi-cloud environments. As software engineering evolves in the AI era, JFrog’s newest offerings address the industry's most pressing trend: the rise of agentic software development and the hidden security risks of "Shadow AI." In response to threat actors increasingly targeting developer workflows including a massive surge in malicious open-source AI models and infected packages; JFrog has expanded its platform capabilities to deliver absolute end-to-end visibility and automated compliance. Key new innovations include the JFrog AI Catalog, which enables organizations to centralize, govern, and control the lifecycle of AI models approved for enterprise use. To secure autonomous coding environments, JFrog introduced the Universal MCP Registry and the Agent Skills Registry (developed alongside NVIDIA). These new solutions establish the industry’s first enterprise-grade trust layer to safely manage and store AI agent skills, monitor connections, and instantly block unsafe developer tools or malicious coding extensions right where developers work. Furthermore, the integration of advanced DevGovOps and Runtime Security tools allows teams to replace slow, manual compliance audits with continuous, background policy enforcement. By shifting security left directly into the binary pipeline, JFrog ensures that the volume of AI-assisted code does not outpace an organization's ability to verify its safety. Today, millions of users and approximately 6,600 organizations worldwide, including a majority of the Fortune 100, depend on the universal JFrog Platform to eliminate point-solution fatigue, bridge the governance gap, and securely embrace digital transformation. Learn more at www.jfrog.com or follow us on X @JFrog.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2361&secure%5Bchosen_at%5D=2026-07-27T22%3A11%3A07Z&secure%5Bdisplayable_resource_id%5D=1910&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1910&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=143017&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%2Fcategories%2Fdata-labeling%2Ffree%3Fopen_modal_url%3D%252Fproducts%252Fv7-darwin%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fdata-labeling%25252Ffree%2526source%253Dcategory&secure%5Btoken%5D=498b243440aafd8913fd61f0d52e8dcaa090cb13276bef1ac4ee90438fe588ca&secure%5Burl%5D=https%3A%2F%2Fjfrog.com%2Fartifactory%2F%3Futm_source%3Dg2%26utm_medium%3Dcpc_social%26utm_campaign%3Dbrand_awareness_banner_ad%26utm_content%3Du-bin&secure%5Burl_type%5D=custom_url)

### [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:** 353

#### 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](https://www.g2.com/sellers/superannotate)
- **Company Website:** https://superannotate.com/
- **Year Founded:** 2018
- **HQ Location:** San Francisco, CA
- **Twitter:** @superannotate (720 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/18999422/ (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)

**["Streamlines Annotation with an Easy Setup and Strong Support"](https://www.g2.com/survey_responses/superannotate-review-12584940)**

**Rating:** 4.0/5.0 stars

_— Nada A._

[Read full review](https://www.g2.com/survey_responses/superannotate-review-12584940)

### [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: 8.8/10)
- **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)
- **Company Website:** https://roboflow.com/
- **Year Founded:** 2019
- **HQ Location:** Remote, US
- **Twitter:** @roboflow (13,577 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/36096640 (137 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)

### [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: 8.8/10)
- **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:** https://www.linkedin.com/company/69557125 (195 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)

### [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: 8.8/10)
- **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:** https://www.linkedin.com/company/labelbox/ (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)

### [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: 8.8/10)
- **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:** https://www.linkedin.com/company/v7labs/ (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)

### [Keymakr](https://www.g2.com/products/keymakr/reviews)

We are a data labeling company that focuses on providing high quality annotation services and excellent customer support. We are the best choice for: Image Annotation Video Annotation Data validation Document Annotation Data Creation Data Collection Our company creates best-in-class computer vision training data. We offer an in-house team paired with advanced proprietary annotation tools. Scalable and secure one-stop shop for your AI

**Average Rating:** 4.8/5.0

**Total Reviews:** 45

#### How Do G2 Users Rate Keymakr?

- **Labeler Quality:** 9.4/10 (Category avg: 8.9/10)
- **Object Detection:** 9.7/10 (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 Keymakr?

- **Seller:** [Keymakr](https://www.g2.com/sellers/keymakr)
- **Year Founded:** 2015
- **HQ Location:** New York, NY
- **Twitter:** @keymakr\_com (354 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/keymakr/ (69 employees on LinkedIn®)

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 52% Small, 22% Medium

#### What Do G2 Reviewers Say About Keymakr?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Keymakr for their **exceptional customer support** , highlighting fast responses and a proactive service approach.
- Users appreciate Keymakr's **efficiency** in integrating with workflows, streamlining processes, and enhancing productivity effortlessly.
- Users find the **initial setup incredibly easy** , enjoying a smooth start with Keymakr's efficient implementation process.
- Users value the **efficient annotation process** of Keymakr, enhancing workflow and ensuring quality results quickly.
- Users value the **excellent data management** of Keymakr, appreciating the team's commitment to quality and client satisfaction.

##### Cons

- Users find the **difficult setup** challenging, with convoluted navigation and connection issues during initial use.
- Users face **recurring annotation mistakes** , though improvements in data quality and processes have enhanced results over time.
- Users face challenges with **complex UI navigation** and initial setup, particularly with S3 connectivity.
- Users find the **limited customization** of Keymakr frustrating, particularly the inability to change passwords independently.

#### What Are Recent G2 Reviews of Keymakr?

**["Accurate Annotation, Valuable Results"](https://www.g2.com/survey_responses/keymakr-review-11103169)**

**Rating:** 4.5/5.0 stars

_— Rinat L._

[Read full review](https://www.g2.com/survey_responses/keymakr-review-11103169)

**["A true Partner in Image Recognition"](https://www.g2.com/survey_responses/keymakr-review-11968704)**

**Rating:** 5.0/5.0 stars

_— Yacine B._

[Read full review](https://www.g2.com/survey_responses/keymakr-review-11968704)

### [Kili](https://www.g2.com/products/kili/reviews)

Kili Technology is a collaborative AI data platform designed to meet the rigorous needs of building large-scale production-ready AI data securely. Founded in Paris in 2018, Kili Technology caters to a diverse range of industries, including healthcare, financial services, manufacturing, defense, and technology. The platform is engineered to support teams of varying sizes, accommodating anywhere from 1 to over 500 concurrent users, and processes millions of assets annually. The core functionality of Kili Technology lies in its ability to facilitate collaboration among cross-functional teams. Unlike traditional labeling tools that primarily serve machine learning engineers, Kili connects data science teams with business stakeholders and subject matter experts. This integration enhances the AI development lifecycle by streamlining processes from annotation and labeling to validation and model feedback. As a result, users can ensure that the data used for training AI models is not only accurate but also relevant to the specific business context. Kili Technology is particularly beneficial for organizations looking to harness the power of AI while maintaining a high level of data quality. The platform supports various data modalities, allowing teams to work with text, images, audio, and video data seamlessly. This versatility makes it suitable for a wide range of applications, from developing natural language processing models to image recognition systems. By fostering collaboration among different roles within an organization, Kili enhances the overall efficiency of the AI development process. Key features of Kili Technology include an intuitive user interface that simplifies the labeling process, robust tools for data validation, and comprehensive feedback mechanisms that enable continuous improvement of AI models. Additionally, the platform offers advanced analytics capabilities, allowing teams to track progress and identify areas for enhancement. These features collectively empower organizations to build high-quality training datasets that meet the demands of complex AI applications. Kili Technology stands out in the competitive landscape of AI data platforms by prioritizing collaboration and usability. By bridging the gap between technical and non-technical stakeholders, it ensures that the development of AI solutions is a cohesive effort. This approach not only accelerates the time to market for AI initiatives but also enhances the overall quality of the training data, ultimately leading to more effective AI models.

**Average Rating:** 4.7/5.0

**Total Reviews:** 52

#### How Do G2 Users Rate Kili?

- **Labeler Quality:** 9.2/10 (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:** 8.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Kili?

- **Seller:** [Kili Technology](https://www.g2.com/sellers/kili-technology)
- **Company Website:** https://kili-technology.com
- **Year Founded:** 2018
- **HQ Location:** Paris, FR
- **Twitter:** @Kili\_Technology (438 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/33266852 (48 employees on LinkedIn®)

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Medium, 34% Small

#### What Do G2 Reviewers Say About Kili?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of Kili's annotation platform and appreciate its comprehensive metrics for projects.
- Users value the **ease of use** and precise metrics for comprehensive project visualization on Kili's annotation platform.
- Users love the **ease of use** offered by Kili, enhancing their annotation experience significantly.
- Users love the **variety of models** available on Kili, enhancing their annotation projects with tailored solutions.

##### Cons

- Users feel that Kili lacks **adequate content updates** , limiting the platform's overall utility and engagement.
- Users feel Kili lacks **adequate content updates** , limiting their overall experience and engagement with the platform.

#### What Are Recent G2 Reviews of Kili?

**["Intuitive UX and Quick Installation"](https://www.g2.com/survey_responses/kili-review-12342244)**

**Rating:** 5.0/5.0 stars

_— Hery R._

[Read full review](https://www.g2.com/survey_responses/kili-review-12342244)

**["Ease of Use and Exceptional Efficiency"](https://www.g2.com/survey_responses/kili-review-12354373)**

**Rating:** 5.0/5.0 stars

_— Lantosoa V._

[Read full review](https://www.g2.com/survey_responses/kili-review-12354373)

### [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: 8.8/10)
- **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:** https://www.linkedin.com/company/datature/ (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)

### [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:** 22

#### How Do G2 Users Rate FiftyOne?

- **Ease of Use:** 8.2/10 (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:** https://www.linkedin.com/company/voxel51 (63 employees on LinkedIn®)

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 64% Small, 27% Medium

#### What Are Recent G2 Reviews of FiftyOne?

**["A Powerhouse for Data Visualization and Model Development"](https://www.g2.com/survey_responses/fiftyone-review-12573495)**

**Rating:** 4.5/5.0 stars

_— Liliana C._

[Read full review](https://www.g2.com/survey_responses/fiftyone-review-12573495)

**["Centralized Solution for AI Pipeline Management"](https://www.g2.com/survey_responses/fiftyone-review-12623717)**

**Rating:** 5.0/5.0 stars

_— Ken P._

[Read full review](https://www.g2.com/survey_responses/fiftyone-review-12623717)

### [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:** 66

#### 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:** 8.2/10 (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:** https://www.linkedin.com/company/10064814/ (51 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?

**["Clean UI, Powerful AI Platform with Reliable Performance and Responsive Support"](https://www.g2.com/survey_responses/clarifai-review-13072233)**

**Rating:** 5.0/5.0 stars

_— Ross M._

[Read full review](https://www.g2.com/survey_responses/clarifai-review-13072233)

**["Helped with my projects! Would recommend!"](https://www.g2.com/survey_responses/clarifai-review-11387093)**

**Rating:** 4.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/clarifai-review-11387093)

### [BasicAI Data Annotation Platform](https://www.g2.com/products/basicai-data-annotation-platform/reviews)

BasicAI Data Annotation Platform (https://www.basic.ai/basicai-cloud-data-annotation-platform) is an All-in-One Smart Data Annotation Platform with strong multimodal feature and AI-powered annotation tools that supports: - Auto-annotation and objects tracking of 3D point cloud (single frame & frame series), 2D & 3D sensor fusion, images and video (consecutive images) data - Auto-segmentation of 3D point cloud data - Smooth annotation teamwork, including management of workflow, performance roles & permission, etc. - No-lag annotation of up to 150 million points in 300 frame in one point cloud data, as well as 1,000 images in one 2D data.

**Average Rating:** 4.4/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate BasicAI Data Annotation Platform?

- **Labeler Quality:** 8.9/10 (Category avg: 8.9/10)
- **Object Detection:** 8.8/10 (Category avg: 8.9/10)
- **Data Types:** 8.8/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind BasicAI Data Annotation Platform?

- **Seller:** [BasicAI](https://www.g2.com/sellers/basicai)
- **Year Founded:** 2019
- **HQ Location:** Irvine, CA
- **Twitter:** @BasicAIteam (94 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/basicaius/about/?viewAsMember=true (16 employees on LinkedIn®)

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 44% Small, 31% Medium

#### What Are Recent G2 Reviews of BasicAI Data Annotation Platform?

**["Very Likely"](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440455)**

**Rating:** 5.0/5.0 stars

_— Vineeth V._

[Read full review](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440455)

**["User Friendly"](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440485)**

**Rating:** 4.5/5.0 stars

_— Rahul D._

[Read full review](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440485)

### [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: 8.8/10)
- **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:** https://www.linkedin.com/company/tensormatics/ (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?

**["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)

**["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)

### [Segments.ai](https://www.g2.com/products/segments-ai/reviews)

Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Image Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation - ML-powered labeling tools: DeepPixels and Autosegment Image Vector Labeling - Bounding boxes - Polygons - Polylines - Keypoints Point Cloud Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation Point Cloud Vector Labeling - Cuboids / 3D bounding boxes - Keypoints - Polygons and polylines Video labeling - Label sequences of data fast with interpolation and ML assistance. - Label merged 3D point clouds of unlimited size. - Label 3D sequences faster with batch mode and merged point cloud view. Sensor fusion: visualize and label multiple modalities in the same interface Build your clever annotation workflow exactly how you want, with the flexibility you need to get the job done quickly and efficiently. Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it. - A Python SDK that finally makes sense - Documentation to make the setup feel like a breeze - Self-serve with support only when you are stuck, so we don't slow you down - Automatically trigger actions using webhooks - Connect your cloud provider (AWS, Google Cloud, Azure) - Export to popular ML frameworks (PyTorch, TensorFlow, Hugging Face 🤗) Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together. Get started with a free trial today at https://segments.ai/join

**Average Rating:** 4.6/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate Segments.ai?

- **Labeler Quality:** 8.9/10 (Category avg: 8.9/10)
- **Object Detection:** 8.3/10 (Category avg: 8.9/10)
- **Data Types:** 8.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Segments.ai?

- **Seller:** [Segments.ai](https://www.g2.com/sellers/segments-ai)
- **Year Founded:** 2020
- **HQ Location:** Leuven, Vlaams-Brabant, Belgium
- **Twitter:** @SegmentsAI (483 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/segmentsai/ (11 employees on LinkedIn®)

#### Who Uses This Product?

- **Top Industries:** Research, Computer Software
- **Company Size:** 95% Small, 5% Medium

#### What Do G2 Reviewers Say About Segments.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Users admire the **efficiency and user-friendly interface** of Segments.ai, enhancing their data labeling and collaboration experience.
- Users praise the **efficiency in multi-sensor data labeling** of Segments.ai, streamlining annotation for autonomous systems.
- Users value the **efficiency** of Segments.ai, enjoying streamlined data labeling and improved workflow for collaborative tasks.
- Users find Segments.ai to be a **time-saving tool** that simplifies dataset organization and annotation with ease.
- Users highlight the **annotation efficiency** of Segments.ai, appreciating its speed and ease compared to other tools.

##### Cons

- Users experience a **difficult learning curve** when annotating complex, multi-sensor data with Segments.ai's interface.
- Users find the **learning curve** for mastering multi-sensor annotation tools to be a bit challenging.
- Users note that **annotation issues** arise due to advanced features needing extra configuration and limited automation options.
- Users note a **lack of features** that limits the full potential of Segments.ai's advanced tools and automations.
- Users notice a **lack of tools** for advanced features and automations, limiting their efficiency in annotation processes.

#### What Are Recent G2 Reviews of Segments.ai?

**["Fast, All-in-One Platform for Labeling and Reviewing Data"](https://www.g2.com/survey_responses/segments-ai-review-12736485)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/segments-ai-review-12736485)

**["Effortless Dataset Management with Intuitive Collaboration"](https://www.g2.com/survey_responses/segments-ai-review-11998627)**

**Rating:** 4.5/5.0 stars

_— Claudio S._

[Read full review](https://www.g2.com/survey_responses/segments-ai-review-11998627)

### [UBIAI Text Annotation Tool](https://www.g2.com/products/ubiai-text-annotation-tool/reviews)

UBIAI makes easy-to-use NLP tools to help companies analyze and extract actionable insights from their unstructured data.

**Average Rating:** 4.8/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate UBIAI Text Annotation Tool?

- **Labeler Quality:** 9.0/10 (Category avg: 8.9/10)
- **Object Detection:** 8.8/10 (Category avg: 8.9/10)
- **Data Types:** 9.0/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind UBIAI Text Annotation Tool?

- **Seller:** [UBIAI](https://www.g2.com/sellers/ubiai)
- **Year Founded:** 2020
- **HQ Location:** Carlsbad, US
- **Twitter:** @UBIAI5 (127 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/ubiai/ (15 employees on LinkedIn®)

#### Who Uses This Product?

- **Company Size:** 47% Small, 35% Medium

#### What Are Recent G2 Reviews of UBIAI Text Annotation Tool?

**["Stand out annotation tool."](https://www.g2.com/survey_responses/ubiai-text-annotation-tool-review-8780821)**

**Rating:** 5.0/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/ubiai-text-annotation-tool-review-8780821)

**["Very convenient tool and amazingly responsive team"](https://www.g2.com/survey_responses/ubiai-text-annotation-tool-review-7643347)**

**Rating:** 4.5/5.0 stars

_— Yassin E._

[Read full review](https://www.g2.com/survey_responses/ubiai-text-annotation-tool-review-7643347)

### [SUPA](https://www.g2.com/products/supa/reviews)

Supercharge your AI with human expertise. SUPA is here to help you streamline your data at any stage: collection, curation, annotation, model validation and human feedback. SUPA is trusted by AI teams to solve their human data needs. Our lightning-fast machine-led labeling platform integrates with our diverse workforce to provide high-quality data at scale, making it the most cost-efficient solution for your AI. Visit us at https://www.supa.so/

**Average Rating:** 4.9/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate SUPA?

- **Labeler Quality:** 8.8/10 (Category avg: 8.9/10)
- **Object Detection:** 9.7/10 (Category avg: 8.9/10)
- **Data Types:** 9.2/10 (Category avg: 8.8/10)
- **Ease of Use:** 9.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind SUPA?

- **Seller:** [SUPA](https://www.g2.com/sellers/supa)
- **Year Founded:** 2014
- **HQ Location:** Damansara Heights, MY
- **Twitter:** @SUPABOLT (12 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/supa-ai/ (63 employees on LinkedIn®)

#### Who Uses This Product?

- **Company Size:** 45% Small, 45% Medium

#### What Are Recent G2 Reviews of SUPA?

**["Reliable and a great choice for data labelling"](https://www.g2.com/survey_responses/supa-review-9744081)**

**Rating:** 5.0/5.0 stars

_— Verified User in Design_

[Read full review](https://www.g2.com/survey_responses/supa-review-9744081)

**["Head Of Data"](https://www.g2.com/survey_responses/supa-review-8870147)**

**Rating:** 5.0/5.0 stars

_— Dominic C._

[Read full review](https://www.g2.com/survey_responses/supa-review-8870147)

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