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Computer vision models are only as good as the data provided, with good labels being essential. Annotating images for object detection models is key to creating higher-performing models. Seven techniques are outlined for creating high-quality data, starting with building a chess piece detection model. The process involves labeling images of chess pieces with bounding boxes to help the model learn how to predict and understand the pieces' locations on the board.