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Image dataset For Machine Learning and deep learning have traditionally depended on labeled image datasets to train AI models for various applications, including object detection, facial recognition, and medical diagnostics. However, the process of labeling images is often labor-intensive, costly, and can introduce biases. This is where self-supervised learning (SSL) comes into playu2014a groundbreaking method that enables AI to learn from unlabeled data. But does this imply that labeled image datasets are becoming irrelevant?<br><br>

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