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🔍 Discover different labeling approaches, from manual to fully automated
🛠️ Master annotation quality for object detection tasks and fix common issues
📊 Analyze how bounding box quality impacts model performance and boost label consistency
⚙️ Use advanced tools like FiftyOne and CVAT to explore datasets and refine annotations
💡 Tackle complex computer vision challenges like occlusions and small object detection
🧠 Implement data augmentation techniques to improve model robustness
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