Computer Vision Annotation Tool (CVAT) – 2022 Overview

Written by Amna Zubair

Computer Vision Annotation Tool (CVAT) is a great software for image annotation. Computer Vision is a research area that uses computers to analyze and collect images and videos in order to extract information from the visual data. However, modern vision systems are built on Machine Learning and Deep Learning. CVAT is an AI software tool that allows teams to quickly create video and image annotations.

What is CVAT?

CVAT is an open-source digital annotation tool that is written in Python or JavaScript. CVAT supports Machine Learning activities for object detection, object classification, 3D data annotation, and image segmentation. This software has recently been popular among both commercial and regular users. Professional data annotation teams use it to create supervised machine-learning datasets. 

Computer Vision Annotation for Business:

CVAT is required for professional computer vision annotation activities. Computer vision annotation is used by many businesses and organizations for image annotation. It can also be combined with a wide range of tools for application development, edge device management and AI model management. All these capabilities are available in the end-to-end Computer Vision platform, TransData. It offers low-code and no-code tools that can be used to speed up every step and facilitate collaboration, scalability and governance. 

What is Image Annotation?

Image annotation refers to the creation of labels on images that can be used in model training (supervised learning) using a dataset. These labels contain information about each object class, location, shape, pose, and other attributes.

CVAT Software Review:

Experts and beginners who are looking to make a real-time vision system can easily use the CVAT interface. CVAT offers many features such as keyframe interpolation, 3D annotation, semi-automatic annotation, etc. However, it is still very intuitive to use.

Benefits of CVAT:  

  •       CVAT is a web-based tool. This means there is no need for installation of the application on a local system
  •       Users can create and collaborate on a task to divide the work among team members.
  •       Automation in  CVAT can allow users to employ interpolation between keyframes.
  •       CVAT can be used for the integration into CV platforms.

Limitations in Computer Vision Annotation:

  •       CVAT only supports limited internet browsers. Google Chrome is required to run the CVAT web app. 
  •       It can be difficult to understand the inner workings of the tool due to a lack of source code documentation.
  •       Manual testing can slow down the development process.

How data Annotation works with CVAT

Step 1: Create an annotation task. Enter the name to specify the labels. Set the color. 

Step 2: Upload the files (bulk photos or video) from a local machine, from your network, from a connected share or from a remote source via URL. 

Step 3: Open the task and select the job link from the jobs list. Next, select the section that corresponds to your task type. Then, use the annotation shapes bounding box, polygon, and other tools to annotate the sections. 

Step 4: Save your changes and then click “Export Task Dataset” in the menu. To begin the download, select the dump annotation format.

Wrapping Things Up!

CVAT is a free, easy-to-use image and video annotation software for both commercial and regular use.  Businesses and enterprises often use CVAT to manage their image annotation and computer vision projects. CVAT provides many features such as keyframe interpolation, 3D annotation, semi-automatic annotation, etc.

 

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