The rise of deep learning relies on massive datasets where individual image quality and annotation accuracy are often assumed rather than verified.
Applying t-SNE or UMAP to see where this image sits relative to its assigned class. 148_1000.jpg
(e.g., Computer Science, Art History, or Forensics?) The rise of deep learning relies on massive
(e.g., An animal, a vehicle, a medical scan?) or Forensics?) (e.g.
(e.g., ImageNet, a local project, or a specific website?)
Testing how minor augmentations (rotations, color jitters) to this image change the model's confidence. 4. Conclusion
Using a pre-trained ResNet-50 or Vision Transformer (ViT) to extract the embedding vector for 148_1000.jpg .