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Computer vision models require good data and labeling is essential for creating high-quality data. This tutorial teaches seven techniques for annotating images for object detection models, focusing on chess piece detection as an example. The process involves labeling images with bounding boxes to train the model to recognize and locate chess pieces accurately. Step one is to determine the labeling tool to use in the annotation process.
