Office items classification system achieving 96.09% accuracy using deep learning. Features 4 trained models (ResNet34/50, YOLO11m/12m) and a immersive GUI with real-time inference at 30+ FPS.
python opencv gui computer-vision pytorch tkinter image-classification transfer-learning resnet34 resnet50 yolov12m yolov11m
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Updated
Nov 1, 2025 - Python