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underwater-object-detection

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YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).

  • Updated Jun 17, 2025
  • Python

Due to highly variying domain features of different underwater enviornment, the publically available datasets alone are not the best fit to train a deep learning algorithm to predict trash

  • Updated Nov 6, 2023
  • Jupyter Notebook

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