10 Best Video Annotation & Labeling Tools In 2024
Video annotation is an essential task in machine learning, computer vision, and natural language processing. It involves the process of labeling and tagging various elements in a video to help machines learn and understand it better.
With the increasing popularity of videos, there is a growing demand for video annotation tools that can help automate this process and make it more efficient.
In this blog, we will be discussing the top 10 video annotation tools that are currently available in the market. We have carefully curated this list based on factors such as user-friendliness, accuracy, speed, and cost-effectiveness.
Whether you are a researcher, data scientist, or machine learning enthusiast, this blog will help you find the perfect video annotation tool.
So, whether you want to automate the annotation process, improve accuracy, or increase efficiency, this blog is your one-stop shop for all your video annotation tool needs.
Let's dive in!
Table of Contents
- Labellerr
- VGG Image Annotator (VIA)
- Supervise.ly
- Labelbox
- CVAT
- Dataloop
- Annotorious
- RectLabel
- Hasty.ai
- Amazon SageMaker Ground Truth
- Conclusion
- FAQ
Top 10 Video annotation tools
Here are details on the top 10 video annotation tools that are currently available in the market that you can consider for your model training:
1. Labellerr
Labellerr is a cloud-based video annotation tool that offers an easy-to-use interface and supports various video formats. It is one of the unique tools that support automated data labeling features that can help you speed up your model training process. It provides a range of annotation tools, such as bounding boxes, polygons, key points, and semantic segmentation. With Labellerr, you can annotate videos with high accuracy and speed, and also collaborate with team members in real time.Here's a breakdown of its key features, reviews, and pricing:
Pros:
Feature-rich Video Segmentation: Perform faster segmentation with pixel perfection. Drag polygon and auto-bordering features prevent overlapping adjacent objects in videos.
Auto-labeling: Accelerate use cases with semantic segmentation using features like SAM and active learning, now applied to video data.
Professional Annotation Team: Handle large volumes of video data with fast turnaround times.
Custom SLA: Starting from 24 hours for batch completion of video annotations.
24/7 Tool Support: Available for the Enterprise Plan, ensuring uninterrupted video annotation operations.
Robust QA Process: Set up QA processes that include agreement between annotators, comparison based on ground truth and IOU metrics, model-assisted QA, generative AI-powered QA, and sample visual quality assurance, now tailored for video annotation.
Dedicated Account Manager: Manage daily/weekly video annotation output efficiently.
Data Privacy and Security Compliance: Comply with HIPAA and GDPR regulations for video data privacy and security.
Multi-tier Pricing: Options based on quality measurement for video annotation. The default QC process includes 1 round of annotation and 1 round of QC, customizable to match expected video annotation output, timeline, and budget.
Cons:
Limited Format Support: Does not currently support point cloud and 3D video data formats.
Pricing:
Pro Plan: Starts at $499 per month for 10-user access with 50,000 data credits included. Additional data credits can be purchased at $0.01 USD per data credit, and extra users can be subscribed to at $29 USD per user.
Enterprise Plan: Offers professional services, including tool customization and ML consultancy tailored for video annotation needs.
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2. VGG Image Annotator (VIA)
VIA is an open-source image and video annotation tool that supports a wide range of annotation types such as bounding boxes, polygons, points, and lines. It also allows you to customize your annotation interface and provides support for various image and video formats.
3. Supervise.ly
Supervise.ly is a cloud-based annotation tool that supports video annotation as well as image annotation. It offers a wide range of annotation tools such as bounding boxes, polygons, and semantic segmentation. It also provides automation features to improve annotation speed and accuracy.
4. Labelbox
Labelbox is a popular video and image annotation tool that offers a user-friendly interface and supports a wide range of annotation types such as bounding boxes, polygons, lines, and points. It also offers automation features such as pre-built models and workflows.
5. CVAT
CVAT is an open-source video and image annotation tool that provides a range of annotation tools such as bounding boxes, polygons, and semantic segmentation. It also supports various video formats and offers collaboration features for team members.
6. Dataloop
Dataloop is a cloud-based video annotation tool that supports a range of annotation types such as bounding boxes, polygons, and semantic segmentation. It also offers automation features such as pre-built models and workflows, as well as real-time collaboration for team members.
7. Annotorious
Annotorious is a free and open-source image and video annotation tool that offers a simple and user-friendly interface. It supports various annotation types such as bounding boxes and points and also provides real-time collaboration features.
8. RectLabel
RectLabel is a video and image annotation tool that is designed specifically for Mac OS. It offers a range of annotation tools such as bounding boxes, polygons, and semantic segmentation, as well as automation features such as object tracking.
9. Hasty.ai
Hasty.ai is a cloud-based annotation tool that supports video annotation as well as image annotation. It offers a range of annotation types such as bounding boxes, polygons, and semantic segmentation, and also provides automation features such as pre-built models and workflows.
10. Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth is a cloud-based annotation tool that supports various annotation types such as bounding boxes, polygons, and lines. It also offers automation features such as pre-built models and workflows, as well as integration with other AWS services.
These are the top 10 video annotation tools that are currently available in the market. Each tool offers its unique set of features and benefits, so you can choose the one that best suits your needs.
Conclusion
In conclusion, video annotation is an essential task in machine learning and computer vision, and there are several video annotation tools available in the market to help with this process.
Our list of the top 10 video annotation tools of 2023 includes both open-source and commercial tools that offer a range of annotation types, automation features, collaboration options, and support for various video formats.
These tools provide researchers, data scientists, and machine learning enthusiasts with powerful tools to annotate videos accurately and efficiently, enabling them to develop more advanced machine learning models. With the help of these tools, the video annotation process can become more streamlined and effective, leading to faster development and improved results.
Read our other listicles:
1. Top 10 Auto Annotation & Labeling Tools in 2024
2. Top 10 Best Image Labeling & Annotation Tools in 2024
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