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Computer vision models are only as good as the data provided, and good labels are essential. This tutorial teaches how to annotate images for object detection models to improve performance. Joseph from Roboflow introduces seven techniques to create high-quality data. The example focuses on chess piece detection, where images of chess pieces on a board need to be labeled with bounding boxes. This process helps the model learn to identify and predict the location of pieces accurately. The first step is determining the desired outcome before diving into the annotating process.