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The rise of deep learning relies on massive datasets where individual image quality and annotation accuracy are often assumed rather than verified.

Summary of how individual data point audits can lead to more robust AI models. 148_1000.jpg

Generating Grad-CAM visualizations to identify which pixels the model focuses on when classifying this specific image. 3. Results & Discussion The rise of deep learning relies on massive

Applying t-SNE or UMAP to see where this image sits relative to its assigned class. 148_1000.jpg

Using a pre-trained ResNet-50 or Vision Transformer (ViT) to extract the embedding vector for 148_1000.jpg .

(e.g., Computer Science, Art History, or Forensics?)

Testing how minor augmentations (rotations, color jitters) to this image change the model's confidence. 4. Conclusion