Best Enterprise Data Labeling Software

How Many Data Labeling Software Products Does G2 Track?

Total Products under this Category: 134

Category Stats (Sep 2026)

  • Average Rating: 4.49/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: FiftyOne (+1.01%) - Among all products in this category, FiftyOne recorded the largest rating increase compared to last month

Last updated: September 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
  • 134+ 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: SuperAnnotate, Datasaur, Roboflow, Dataloop, Datature, and Kili.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-labeling/grids.json?focus%5B%5D=superannotate&focus%5B%5D=datasaur&focus%5B%5D=roboflow&focus%5B%5D=dataloop-dataloop&focus%5B%5D=datature&focus%5B%5D=kili&segment=enterprise)

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?

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: 39% Medium, 35% Small

What Are Recent G2 Reviews of Datasaur?

What Are G2 Users Discussing About Datasaur?

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?

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?

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: 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
  • 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: 64% Small, 28% 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?

Kili

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
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Paris, FR
  • Twitter: @Kili_Technology
    438 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    51 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 appreciate the ease of use and precise metrics for comprehensive visualization of annotation projects on Kili.
  • Users love the ease of use of Kili's data labeling platform, appreciating its precise metrics and project visualization.
  • Users love the ease of use of Kili, making annotation projects straightforward and efficient.
  • Users value the variety of models available on Kili, enhancing their annotation projects with diverse options.
Cons
  • Users feel Kili lacks ample features, expressing a desire for more content in platform updates.
  • Users feel that Kili lacks adequate content updates, impacting their overall experience and functionality of the platform.

What Are Recent G2 Reviews of Kili?