M2cai16-tool-locations -

# Parse annotations: list of [x1, y1, x2, y2, class_id] boxes = [] labels = [] for obj in ann.get('objects', []): x1, y1, x2, y2 = obj['bbox'] # absolute pixel coords label = self.CLASSES.index(obj['class_name']) boxes.append([x1, y1, x2, y2]) labels.append(label)

Because only 8 unique surgical cases exist, a model might memorize camera angles or surgeon hand positions. : Use aggressive augmentation (elastic deformations, random erase, color jitter) and cross-validation. m2cai16-tool-locations

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