miladlink/YoloV3
Pytorch YoloV3 implementation from scratch
This project helps you identify and locate multiple objects within an image, even small ones, quickly and accurately. You provide an image, and it outputs the image with bounding boxes drawn around detected objects, labeling what they are. This is for machine learning engineers or researchers who need a foundational, clear implementation of a widely used object detection algorithm.
No commits in the last 6 months.
Use this if you are a developer looking for a straightforward PyTorch implementation of YOLOv3 to understand its mechanics or integrate it into a larger system for object detection tasks.
Not ideal if you need a high-level API for object detection without diving into the underlying code or if you require the absolute fastest inference speeds for real-time applications where every millisecond counts.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 06, 2022
Commits (30d)
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