Showing 4 of 4 projects
A state-of-the-art PyTorch-based computer vision model for object detection, segmentation, and classification.
A PyTorch implementation of YOLOv3 for real-time object detection, supporting export to ONNX, CoreML, and TFLite.
A visible-infrared paired dataset for low-light vision tasks like pedestrian detection, image fusion, and image-to-image translation.
A prototype intelligent safety system that detects driver drowsiness and gestures using facial video surveillance and YOLOv5.
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