cvat

CVAT MONAILabel extension

Requirement

Install CVAT and enable Semi-Automatic and Automatic Annotation

• https://openvinotoolkit.github.io/cvat/docs/getting_started
• https://openvinotoolkit.github.io/cvat/docs/administration/advanced/installation_automatic_annotation/

docker-compose -f docker-compose.yml -f components/serverless/docker-compose.serverless.yml up -d

Installation

Run ./deploy.sh to install all available models from MONAI Label into CVAT. Currently, following sample models are available for CVAT.

• Segmentation Nuclei (Detector)
• Deepedit Nuclei (Detector)
• NuClick (Interactor)

Using Plugin

Currently we can use MONAI Label models only for annotation. Other features like ActiveLearning, Finetuning/Training models is not supported.

Annotation functions are verified only on basic png/jpeg images in CVAT.

Models

Detector

Interactor

Currently CVAT supports single polygon as result for Interactor. Hence, NuClick model in CVAT will return only one polygon mask.