Update README.md

README.md

@@ -22,7 +22,6 @@ I used a subset of DeepFashion v1 in order to curate a dataset of paired images
  - The human models seem to have good coverage on most ethnicities/body types. Early analysis also shows that there is not any ethnicity/body type bias.
  - Most/all the images have a white background. From my testing, the model generalizes quite well to other domains (with natural/diverse backgrounds/poses).
  - My hypothesis is that the paired nature of the data allowed the model to pick up on the correct features, which has made it very robust.
- - As a testament to the robustness of this model, I have been unable to find a misclassification error using this model for my usecase to date.
 |Presence Case|Absence Case|
 |---|---|
 |<img src="https://datasets-server.huggingface.co/cached-assets/forgeml/viton_hd/--/forgeml--viton_hd/train/226/image/image.jpg"  width="100px">|<img src="https://datasets-server.huggingface.co/cached-assets/forgeml/viton_hd/--/forgeml--viton_hd/train/226/cloth/image.jpg"  width="100px">|