open-mmlab/mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
This project helps developers working with computer vision quickly and efficiently train and evaluate real-time object detection models. You input image datasets, and it outputs trained models capable of identifying and locating specific objects, or even segmenting objects within images. It's ideal for machine learning engineers and researchers building systems that need to process visual data in real time.
3,421 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to build or benchmark highly optimized, real-time object detection or instance segmentation systems using various YOLO architectures.
Not ideal if you are looking for a no-code solution or a tool for general image classification tasks without specific object localization needs.
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3,421
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622
Language
Python
License
GPL-3.0
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Last pushed
Jul 14, 2024
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