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Computer vision models are only as good as the data provided, with good labels being essential. This tutorial focuses on annotating images for object detection models to improve performance. Techniques are shared by the presenter, Joseph from Roboflow, for creating high-quality data. The example used is chess piece detection, with a need to label images with bounding boxes. This allows the model to learn and predict chess piece positions accurately. The first step is deciding on the specific annotation tool to use.
