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Computer vision models rely on the quality of the data they are provided, with good labels being essential. This tutorial focuses on annotating images for object detection to improve model performance. Joseph from Roboflow outlines seven techniques to create high-quality data for building a model. The example used is chess piece detection, where images of chess pieces on a board are labeled with bounding boxes to train the model. Hosting high-quality data is crucial for accurate predictions in computer vision models.
