Use YOLO (quantizatted Openvino INT8) for face detector and Facenet (quantizated to INT8 tflite) for model embedding face
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Updated
Oct 26, 2025 - Jupyter Notebook
Use YOLO (quantizatted Openvino INT8) for face detector and Facenet (quantizated to INT8 tflite) for model embedding face
Live time object detector. Contributions are welcomed for more diversified models
Real-time YOLO detection, multi-object tracking, and interactive object locking with TensorRT—optimized for NVIDIA Jetson (ARGUS via GStreamer) and GPUs.
Detect and get coordinates of fire using YOLO11n
Computer Vision pipeline designed for precision agriculture applications, featuring automated dataset processing, advanced data augmentation, hyperparameter optimization, and edge-optimized model deployment for real-time crop and weed detection.
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