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Computer vision models rely on the quality of the data provided, particularly the labels. This tutorial will guide you through annotating images for object detection to create higher performing models. Joseph from Roboflow presents seven techniques to ensure high-quality data. The example used is chess piece detection, where images need to be labeled with bounding boxes for the model to learn. This process is crucial for the model to understand and predict the location of chess pieces on the board.
