mindspore-lab/mindyolo
A toolbox of yolo models and algorithms based on MindSpore
This is a comprehensive toolkit for anyone working with object detection in images and videos. It takes raw image or video data as input and can identify and localize specific objects within them. Machine learning engineers and researchers can use this to quickly build, train, and evaluate cutting-edge real-time object detection models.
172 stars. Available on PyPI.
Use this if you need to develop or experiment with advanced YOLO-based object detection models for tasks like surveillance, autonomous driving, or quality control.
Not ideal if you are looking for a pre-built, plug-and-play solution without any coding or model customization.
Stars
172
Forks
53
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 05, 2025
Commits (30d)
0
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