https://github.com/alphan26/fish-object-detection
A project using YOLOV5 to detect 7 kinds of fish.
https://github.com/alphan26/fish-object-detection
Last synced: 7 days ago
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A project using YOLOV5 to detect 7 kinds of fish.
- Host: GitHub
- URL: https://github.com/alphan26/fish-object-detection
- Owner: Alphan26
- Created: 2024-12-25T15:48:38.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-25T15:51:02.000Z (over 1 year ago)
- Last Synced: 2025-05-31T02:57:36.876Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 10.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Fish Detection
This project involves the classification of seven different fish species using a YOLOv5 model implemented in PyTorch. The dataset is in YOLO format, which is commonly used for object detection tasks. The model is trained to detect and classify various fish species, leveraging the capabilities of YOLOv5 to accurately localize and classify objects in images. The project demonstrates the application of computer vision techniques in environmental and biological research, specifically focusing on marine life classification.