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).
computer-vision deep-learning image-processing pytorch gpu-acceleration object-detection gradio evaluation-metrics data-augmentation attention-mechanisms onnx model-export training-pipeline mixed-precision-training underwater-object-detection underwater-imaging real-time-inference yolov12 environmental-adaptation brackish-water
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Updated
Jun 6, 2025 - Python