Image Annotation Python Packages

cvat-sdk

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

97K 16K 4K

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

97K 28K 4K

streamlit-drawable-canvas

Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

61K 670 122

bbox-visualizer

Make drawing and labeling bounding boxes a piece of cake

40K 414 36

segments-ai

Segments.ai Python SDK

26K 27 10

cvat-cli

9K 16K 4K

autodistill

Images to inference with no labeling (use foundation models to train supervised models).

9K 3K 217

coralnet-toolbox

Tools for panoptic segmentation and developing machine learning models for benthic imagery

4K 48 7

labelimgplusplus

The maintained LabelImg: image annotation for ML - gallery mode, dark theme, polygons, keypoints, undo/redo, COCO & YOLO-seg export

3K 6 2

cytomine-python-client

A web platform for collaborative analysis of very large bio-medical images

2K 20 7

streamlit-image-annotation

Streamlit component for image annotation.

1K 105 23

labelme-to-yolo

Python library to convert LabelMe JSON annotations into YOLO (YOLOv5/YOLOv7) format, including automatic dataset splitting and structure generation for computer vision workflows.

922 0 0