In-Depth Reviews: Top Data Annotation Software of 2024

Welcome to our comprehensive review of the top data annotation software of 2024. If you're working on AI and machine learning projects, you know how crucial accurate and carefully labeled data is for training models. Finding the best data annotation software can greatly enhance your annotation process and streamline your workflow.

In this review, we will take an in-depth look at the leading data annotation tools available in the market. We will analyze and compare their key features, functionality, and pricing options, helping you make an informed decision when choosing the right software for your specific needs. Whether you're focusing on image annotation, video annotation, or a combination of both, we've got you covered.

To provide you with a holistic view, we will be examining popular options such as V7, Keylabs, Scale AI, SuperAnnotate, DataLoop, Playment, Supervise.ly, Hive Data, CVAT, and more. Our goal is to equip you with the knowledge necessary to select the best data annotation software that aligns with your requirements and budget.

Key Takeaways:

• Explore the top data annotation software of 2024
• Compare key features and functionalities
• Consider pricing options
• Choose the best data annotation software for your AI and machine learning projects
• Enhance your annotation process and streamline your workflow

V7

V7 is an automated annotation platform that combines dataset management, image annotation, video annotation, and autoML model training. It offers a comprehensive suite of features designed to streamline the annotation process and enhance the accuracy and efficiency of AI and machine learning projects.

Key Features of V7

• Automated annotation without prior training: V7 utilizes advanced algorithms to automatically annotate data, eliminating the need for time-consuming manual annotations.
• Composable workflows: V7 allows users to create customizable annotation workflows, tailoring the process to specific project requirements and increasing productivity.
• Robust dataset management at large scale: The platform provides powerful tools for managing and organizing large datasets, ensuring easy access and retrieval of annotated data.
• Integrated data labeling services: V7 offers integrated data labeling services, enabling users to outsource their annotation tasks to a team of trained professionals.
• Real-time collaboration: V7 facilitates real-time collaboration among annotators, allowing multiple team members to work simultaneously on the same project.
• Frame-perfect video annotation tool: V7 includes a video annotation tool that ensures precise frame-by-frame annotation, essential for accurate video analysis.

With its comprehensive set of features and intuitive interface, V7 is a versatile and advanced tool for image and video annotation, suitable for a wide range of AI and machine learning projects.

V7 offers flexible pricing options to accommodate different user needs. The education plan starts from USD 0, providing students and researchers with access to essential annotation capabilities. For professional users and enterprises, V7 offers competitive pricing plans tailored to specific requirements.

Keylabs

In the realm of data annotation software, Keylabs stands as a robust training data platform that simplifies the labeling and collaboration processes. This versatile tool offers a wide array of features and functionalities, making it an excellent choice for AI and machine learning projects.

Keylabs provides AI-enabled labeling tools that streamline the annotation process, ensuring efficiency and accuracy. Its labeling automation capabilities save time and effort, allowing users to focus on other crucial tasks. Additionally, Keylabs offers access to a human workforce, enabling efficient collaboration between annotators and labelers.

Data management is a vital aspect of any data annotation project, and Keylabs excels in this area. The software provides a powerful API for seamless integration with other tools and systems, enhancing workflow efficiency and data synchronization. It also offers a Python Software Development Kit (SDK) for seamless extensibility.

When it comes to annotation methods, Keylabs supports an impressive range of options. Users can confidently annotate polygons, bounding boxes, lines, and more, ensuring comprehensive labeling for a variety of tasks and datasets.

Keylabs doesn't stop at basic annotation features; it goes above and beyond to offer advanced functionalities. For instance, AI-assisted labeling enhances the annotation process by using machine learning algorithms to suggest labels, consequently accelerating the overall workflow. Quality assurance and control (QA/QC) tooling ensures that the annotated data meets high standards, guaranteeing reliable and accurate results.

Keylabs also provides labeler performance analytics, allowing users to assess the productivity and accuracy of individual labelers, resulting in improved annotation workflows. Additionally, the customizable interface enables users to tailor the software to their specific requirements and preferences.

Keylabs offers a flexible pricing structure that caters to varying needs. It starts with a free plan that allows users to annotate up to 5000 images. 

To summarize, Keylabs is an exceptional data annotation software that covers the entire labeling process, from annotation to collaboration. With its AI-enabled tools, labeling automation, robust data management capabilities, and flexible pricing options, Keylabs empowers AI and machine learning projects with accurate and efficient data annotation.

Scale AI

Scale AI is a robust data platform specifically designed for annotating large volumes of 3D sensor, image, and video data. With its powerful features and advanced functionalities, Scale AI has become a preferred choice for various industries, especially in autonomous driving applications.

Key Features of Scale AI

• ML-Powered Pre-Labeling: Scale AI leverages machine learning algorithms to automate the pre-labeling process, reducing manual effort and saving time.
• Automated Quality Assurance System: Scale AI's built-in quality assurance system ensures accurate annotations by identifying and flagging potential errors or inconsistencies.
• Dataset Management: Scale AI provides efficient dataset management capabilities, allowing users to organize, search, and access annotated data conveniently.
• Document Processing: Scale AI supports document processing, enabling users to annotate text and extract valuable information, making it suitable for natural language processing applications.
• AI-Assisted Data Annotation: Scale AI incorporates AI-assisted annotation tools to streamline the annotation process and improve productivity.

"Scale AI offers a powerful and versatile solution for annotating diverse data formats and accomplishing various annotation tasks, such as object detection, classification, and text recognition. Its AI-assisted functionalities make it a valuable tool for data annotation projects of any scale and complexity."

Scale AI Pricing

Scale AI pricing is tailored according to a customer's specific needs. The pricing structure is project-based, and the cost depends on factors like the volume of data, complexity of annotation tasks, and additional requirements.

SuperAnnotate

SuperAnnotate is an end-to-end image and video annotation platform that streamlines and automates computer vision workflows. It offers a wide range of features to enhance the annotation process and improve efficiency in data labeling tasks. With SuperAnnotate, users can easily annotate various computer vision tasks, such as object detection, instance and semantic segmentation, keypoint annotation, and video tracking.

One of the standout features of SuperAnnotate is its AI-assisted labeling capability, which utilizes advanced algorithms to provide intelligent suggestions and accelerate annotation speed. This feature significantly reduces the time and effort required for manual labeling. SuperAnnotate also offers superpixels for semantic segmentation, allowing for precise and accurate annotation.

To ensure high-quality annotations, SuperAnnotate incorporates advanced quality control systems. Users can set annotation guidelines and review completed annotations to maintain consistency and accuracy throughout the process. Additionally, SuperAnnotate supports various annotation formats, making it compatible with different computer vision models and applications.

SuperAnnotate offers flexible pricing plans to cater to individual and enterprise needs. Users can start with a free 14-day trial to explore the platform's capabilities. For those looking for a more tailored experience, SuperAnnotate provides Starter, Pro, and Enterprise plans with customized features and support.

SuperAnnotate Features:

• Object detection annotation
• Instance and semantic segmentation annotation
• Keypoint annotation
• Video tracking annotation
• AI-assisted labeling
• Superpixels for semantic segmentation
• Advanced quality control systems
• Support for various annotation formats

SuperAnnotate Pricing:

DataLoop

DataLoop is an all-in-one cloud-based annotation platform that provides comprehensive tools and automation to support the entire lifecycle of AI projects. From annotation to model evaluation and improvement, DataLoop offers a seamless workflow for data annotation tasks.

With DataLoop's intuitive interface and embedded features, users can easily perform basic computer vision tasks such as detection, classification, key points, and segmentation. The software also supports advanced functionalities like model-assisted labeling, which combines human expertise with machine learning algorithms for improved accuracy and efficiency.

One of the standout features of DataLoop is its support for multiple data types. Whether you're annotating images, videos, or other data formats, DataLoop provides the necessary tools and flexibility to handle diverse datasets. This makes it an ideal choice for AI projects that require annotation across different media types.

DataLoop also offers advanced team workflows, allowing teams to collaborate seamlessly on annotation tasks. Its robust collaboration features enable real-time collaboration, version control, and task management, ensuring smooth and efficient teamwork.

Furthermore, DataLoop provides specialized tools for video annotation, a crucial task in many computer vision projects. With frame-perfect video annotation capabilities, users can annotate videos with precision and accuracy, enhancing the quality of the annotated data.

When it comes to pricing, DataLoop offers a free trial that allows users to explore its features before committing to a paid plan. Additionally, DataLoop offers custom Enterprise plans tailored to the specific needs and requirements of businesses, ensuring scalability and flexibility.

Overall, DataLoop is a powerful and versatile data annotation software that combines robust tools, automation, and flexibility to support the annotation needs of AI projects. Its wide range of features, multiple data type support, advanced team workflows, and video annotation capabilities make it a comprehensive solution for data annotation.

Playment

Playment is a fully managed data labeling platform that specializes in generating training data for computer vision models. With support for both image and video data annotation, Playment provides a range of basic annotation tools to meet your project requirements. These tools include bounding boxes, cuboids, polygons, and landmarks, allowing you to annotate and label your data accurately and efficiently.

One of the unique aspects of Playment is its utilization of microwork, which enables the platform to break down large annotation tasks into micro-tasks. These micro-tasks are then distributed among Playment's community of trained annotators, ensuring a faster completion time for your projects.

In addition to its annotation capabilities, Playment also offers valuable features like product comparison and competitor analysis. These features allow you to gain insights into the market landscape and make informed decisions about your data annotation projects.

Playment understands the importance of quality control in data annotation, and provides advanced tools to maintain accuracy and consistency. These tools help to identify and address any annotation errors or inconsistencies, ensuring that your training data is of the highest quality.

When it comes to pricing, Playment offers flexible options to suit different project needs. The platform provides custom pricing plans tailored to your specific requirements, ensuring that you get the most value out of your investment.

Playment Features:

• Image and video annotation support
• Basic annotation tools (bounding boxes, cuboids, polygons, landmarks)
• Microwork for faster completion time
• Product comparison and competitor analysis features
• Advanced quality control tools
• Flexible and custom pricing plans

Supervise.ly

Supervise.ly is a versatile web-based image and video annotation platform catering to the needs of both individual researchers and large teams. With its user-friendly interface and comprehensive set of features, Supervise.ly is a top choice for data annotation tasks.

The platform offers a range of basic annotation tools, such as boxes, lines, polygons, and bitmap brushes, making it easy to annotate images and videos accurately. Supervise.ly also supports 3D Point Cloud annotation, enabling users to work with three-dimensional data effectively.

One of the standout features of Supervise.ly is its AI-assisted labeling capability. This feature helps users speed up the annotation process by automatically suggesting labels based on pre-trained models, saving time and effort.

In addition to its annotation tools, Supervise.ly provides advanced options for multi-format data annotation and management. Users can work with a variety of data formats, including images, videos, and 3D Point Cloud, making it suitable for a wide range of AI and machine learning projects.

Supervise.ly also offers project management functionalities at different levels, giving users the flexibility to organize and track their annotation tasks efficiently. The platform includes the Supervisely Agent, which allows users to manage annotation tasks securely and seamlessly.

As for pricing, Supervise.ly offers a free 100-image community edition, making it an accessible option for those starting out or working on smaller projects. For those with more extensive requirements, Supervise.ly also offers custom pricing plans to suit specific needs.

Supervise.ly is a comprehensive data annotation platform designed to simplify and streamline the annotation process. With its range of annotation tools, AI-assisted labeling, and flexible project management options, Supervise.ly is an excellent choice for researchers and teams looking to enhance their data annotation workflow.

Hive Data

Hive Data is a fully managed data annotation software solution that provides comprehensive services for sourcing and labeling training data. With Hive Data, you can efficiently annotate various data types, including images, videos, text, and 3D Point Cloud, making it a versatile tool for your AI and machine learning projects.

One of the standout features of Hive Data is its support for multiple data types. This means that whether you're working with visual data like images and videos or textual data, Hive Data has got you covered. The software's robust annotation capabilities allow you to accurately label objects, entities, sentiments, and more, empowering you to create high-quality training datasets.

Another key advantage of Hive Data is its end-to-end data labeling services. The software offers a seamless workflow that takes you from data sourcing to metadata management to annotation and beyond. This streamlined process ensures efficiency and accuracy throughout your annotation projects, saving you time and effort.

Furthermore, Hive Data provides access to a repository of pre-trained models. These models have undergone extensive training and are optimized for various annotation tasks. Leveraging these pre-trained models can boost the speed and accuracy of your annotation process, enabling you to tackle large-scale projects with ease.

Hive Data also features advanced project management workflows. From assigning tasks to organizing teams to monitoring progress, the software provides robust tools that facilitate collaboration and streamline project management. With Hive Data, you can ensure that your annotation projects stay on track, meet deadlines, and deliver high-quality results.

Integration with AI pipelines is another key strength of Hive Data. The software seamlessly integrates with your existing AI infrastructure, allowing you to incorporate annotated data directly into your machine learning models. This integration eliminates the need for manual data transfer, saving you time and ensuring the accuracy and consistency of your models.

Key Features of Hive Data:

• Comprehensive support for image, video, text, and 3D Point Cloud annotation
• Multiple data type support for versatile annotation projects
• End-to-end data labeling services, from data sourcing to annotation
• Access to a repository of pre-trained models for improved annotation accuracy and efficiency
• Advanced project management workflows for streamlined collaboration
• Integration with AI pipelines for seamless incorporation of annotated data into machine learning models

With its wide range of features and flexible pricing options, Hive Data is a powerful and customizable data annotation software that caters to the needs of various industries and applications. Whether you're working on computer vision projects, natural language processing tasks, or 3D modeling, Hive Data has the tools and capabilities to support your annotation needs.

CVAT

CVAT is an open-source web-based image and video annotation tool developed by Intel. It provides a robust set of features for efficient and accurate data annotation.

Features

CVAT offers a wide range of annotation types, including boxes, polygons, polylines, and points, allowing users to annotate objects with precision and detail.

The software supports semi-automatic annotation, which enables users to streamline the annotation process by leveraging AI assistance and reducing manual effort.

CVAT also allows the interpolation of shapes between keyframes, making it easier to annotate videos with smooth and consistent results.

The dashboard in CVAT provides project and task management functionalities, allowing users to organize and track the progress of their annotation projects effectively.

CVAT supports integration with automation instruments, enabling seamless collaboration between human annotators and AI algorithms.

Conclusion

After an in-depth review of the top data annotation software of 2023, it is evident that each tool offers unique features and functionalities to cater to various needs. V7, Keylabs, Scale AI, SuperAnnotate, DataLoop, Playment, Supervise.ly, Hive Data, CVAT, and many others are all excellent options for data annotation, with their own strengths and advantages.

When selecting the most suitable data annotation software, it is crucial to consider specific requirements such as automation capabilities, supported data types, project management features, and pricing options. Evaluating these factors will help you identify the tool that aligns best with your project goals and resources.

To make an informed decision, it is highly recommended to take advantage of the free trials offered by these software providers. By testing the features firsthand and comparing them directly, you can determine which software meets your unique needs and maximizes your annotation workflow efficiency.

FAQ

What is V7?

V7 is an automated annotation platform that combines dataset management, image annotation, video annotation, and autoML model training.

What are the key features of V7?

V7 offers features such as automated annotation without prior training, composable workflows, robust dataset management at large scale, integrated data labeling services, real-time collaboration, and a frame-perfect video annotation tool.

What is Keylabs?

Keylabs is a training data platform that facilitates the entire process of labeling and collaboration.

What features does Keylabs offer?

Keylabs offers AI-enabled labeling tools, labeling automation, human workforce, data management, a powerful API for integration, and a Python SDK for extensibility.

What is Scale AI?

Scale AI is a data platform that enables annotations of large volumes of 3D sensor, image, and video data.

What are the key features of Scale AI?

Scale AI offers features like ML-powered pre-labeling, automated quality assurance system, dataset management, document processing, and AI-assisted data annotation.

What is SuperAnnotate?

SuperAnnotate is an end-to-end image and video annotation platform that streamlines and automates computer vision workflows.

What features does SuperAnnotate offer?

SuperAnnotate offers features for various computer vision tasks like object detection, instance and semantic segmentation, keypoint annotation, and video tracking.

What is DataLoop?

DataLoop is an all-in-one cloud-based annotation platform with embedded tools and automation.

What are the key features of DataLoop?

DataLoop supports basic computer vision tasks like detection, classification, key points, and segmentation.

What is Playment?

Playment is a fully managed data labeling platform that generates training data for computer vision models.

What features does Playment offer?

Playment offers basic annotation tools like bounding boxes, cuboids, polygons, and landmarks.

What is Supervise.ly?

Supervise.ly is a web-based image and video annotation platform suitable for individual researchers and large teams.

What features does Supervise.ly offer?

Supervise.ly offers basic annotation tools like boxes, lines, polygons, bitmap brush, and supports 3D Point Cloud.

What is Hive Data?

Hive Data is a fully managed data annotation solution for sourcing and labeling training data.

What features does Hive Data offer?

Hive Data offers multiple data type support, data sourcing, and end-to-end data labeling services.

What is CVAT?

CVAT is an open-source web-based image and video annotation tool developed by Intel.

What features does CVAT offer?

CVAT offers annotation types like boxes, polygons, polylines, and points.