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Computer vision can analyze medical images like X-rays to assist in diagnosing diseases.

The Pooling Layer reduces the spatial size of feature map shelping to decrease computation.

ReLU (Rectified Linear Unit) adds non-linearity and helps gradient flow during backpropagation.

IoU measures the overlap between predicted and ground truth bounding boxes in object detection.

F1 score balances precision and recall useful for imbalanced datasets in vision tasks.

Low latency and high frame rates ensure smooth and timely processing in real-time systems.

Image segmentation separates an image into meaningful parts for further analysis.

Gaussian Blur applies a smoothing filter to reduce noise while preserving important edges.

OpenCV provides extensive tools for image processing and computer vision applications.

HOG is used to capture the shape and appearance of objects based on gradient directions.

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