148_1000.jpg Link

(e.g., An animal, a vehicle, a medical scan?)

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

To investigate the representational value of specific data points within the broader training set. 2. Methodology 148_1000.jpg

Edge cases or "noisy" samples (like 148_1000.jpg ) can disproportionately affect model convergence or bias. 148_1000.jpg

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

Recommendations for automated "cleaning" of datasets based on high-loss samples.

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