AlessandroMondin/YOLOV5m
A personal implementation of YOLOv5 (v6.0)
This is a specialized implementation of YOLOv5, a popular deep learning model for object detection. It takes in images with objects you want to identify and outputs bounding boxes around those objects with their labels. It's intended for machine learning engineers and researchers who are working on object detection tasks and want to understand or adapt the YOLOv5 architecture in a PyTorch environment.
No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for a clear, focused PyTorch implementation of YOLOv5 for educational purposes or as a starting point for your own custom object detection projects.
Not ideal if you need a production-ready, feature-rich object detection solution without diving into the underlying code and training pipelines.
Stars
53
Forks
12
Language
Python
License
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Category
Last pushed
Jul 17, 2023
Commits (30d)
0
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