Object Detection and Image Classification serve distinct purposes in computer vision. Object Detection identifies and locates objects by giving coordinates and labels, whereas Image Classification solely outputs labels and is better for recognizing similar objects. Using YOLO for detection and TensorFlow for classification, this guide walks through detecting and classifying dog breeds efficiently by combining both methods.
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