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Computer vision models are dependent on the quality of the data provided. Good labels are crucial for good data. This tutorial focuses on annotating images for object detection models to improve their performance. Seven techniques will be discussed to achieve higher quality data. The example used is chess piece detection, where images of chess pieces on a chess board need to be labeled with bounding boxes for the model to understand and predict their positions. The first step is to decide on a labeling tool.
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