https://github.com/tinh2044/yolo12-underwater
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).
https://github.com/tinh2044/yolo12-underwater
attention-mechanisms brackish-water computer-vision data-augmentation deep-learning environmental-adaptation evaluation-metrics gpu-acceleration gradio image-processing mixed-precision-training model-export object-detection onnx pytorch real-time-inference training-pipeline underwater-imaging underwater-object-detection yolov12
Last synced: 6 months ago
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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).
- Host: GitHub
- URL: https://github.com/tinh2044/yolo12-underwater
- Owner: tinh2044
- Created: 2025-04-28T11:05:29.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-28T11:40:18.000Z (6 months ago)
- Last Synced: 2025-05-04T13:17:49.638Z (6 months ago)
- Topics: attention-mechanisms, brackish-water, computer-vision, data-augmentation, deep-learning, environmental-adaptation, evaluation-metrics, gpu-acceleration, gradio, image-processing, mixed-precision-training, model-export, object-detection, onnx, pytorch, real-time-inference, training-pipeline, underwater-imaging, underwater-object-detection, yolov12
- Language: Python
- Homepage:
- Size: 52.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0