Showing 5 of 5 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.
High-level TensorFlow network definitions with pre-trained weights for easy integration into existing ML workflows.
A YOLO-based object detection system specifically trained to identify DJI drones in images and video.
A curated archive of pre-trained computer vision models for object detection, face recognition, fire detection, and more.
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