Object Detection project leverages the YOLOv3 model with OpenCV to detect and label objects in images, applying non-maximum suppression for accurate results. It involves loading the model, preprocessing input images, and visualizing detected objects with bounding boxes and labels.
python opencv real-time computer-vision deep-learning neural-network image-processing object-detection soc yolov3 non-maximum-supression squad-of-creators
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Updated
Jul 29, 2024 - Python