CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
This tool helps data professionals quickly and accurately label images and videos for various computer vision tasks. You input raw visual data, and it assists you in marking objects, segments, or text, outputting structured annotations that can be used to train AI models. It's designed for data engineers and researchers who need to prepare large datasets for machine learning applications.
8,375 stars. Actively maintained with 14 commits in the last 30 days. Available on PyPI.
Use this if you need an efficient way to annotate visual data for tasks like object detection, segmentation, pose estimation, or OCR, and want AI assistance to speed up the labeling process.
Not ideal if you only need to view images or perform basic image editing without any labeling or AI model development objectives.
Stars
8,375
Forks
909
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
14
Dependencies
20
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CVHub520/X-AnyLabeling"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Recent Releases
Compare
Related frameworks
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and...
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
wkentaro/labelme
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted...
doccano/doccano
Open source annotation tool for machine learning practitioners.
virajmavani/semi-auto-image-annotation-tool
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by...