Computer Vision Annotation Tool

CVAT is a free, open source tool that is widely used in various industries for annotating images to facilitate the training of machine learning models. This tool is designed to handle a large volume of images for labeling. Setting up and using CVAT for annotating images involves several steps. The following is a guide that covers the process.

Step 1 – Install Docker

CVAT is containerized using Docker, so you’ll need to have Docker installed on your machine. Follow the installation instructions for your operating system on the official Docker website: https://docs.docker.com/get-docker/.

Step 2 – Install Docker Compose

CVAT has multiple components, including a web server, a database, and a worker for background tasks. Docker Compose allows you to define and manage the dependencies between these components in a single configuration file (docker-compose.yml).

Docker Compose simplifies the management of multi-container...