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To investigate the representational value of specific data points within the broader training set. 2. Methodology
Testing how minor augmentations (rotations, color jitters) to this image change the model's confidence. 4. Conclusion 148_1000.jpg
Edge cases or "noisy" samples (like 148_1000.jpg ) can disproportionately affect model convergence or bias. To investigate the representational value of specific data
1. Introduction
The rise of deep learning relies on massive datasets where individual image quality and annotation accuracy are often assumed rather than verified. 148_1000.jpg