10 Best Video Annotation & Labeling Tools In 2024

Top 10 Collaborative Video Annotation Tools In 2024
Top 10 Collaborative Video Annotation 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!

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

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 fasten 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.

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2. VGG Image Annotator (VIA)

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

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

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

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

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

Annotorius

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

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

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

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.


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