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Computer vision models depend on the quality of data provided, and good labels are essential for training. This tutorial focuses on annotating images for object detection models to improve performance. Seven techniques are explained to ensure high-quality data. The example used is chess piece detection, where images of chess pieces on a board need to be labeled with bounding boxes. This helps the model recognize and predict the pieces' positions. Step one involves deciding on the labeling tool to use.
