# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("driboune/skin_type")
model = AutoModelForImageClassification.from_pretrained("driboune/skin_type")Quick Links
skin_type
Aiming for fairness in image classification for humans, knowing the skin type of subjects is relevant to make sure the model performs correctly on all skin types.
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
dark skin
light skin
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Evaluation results
- Accuracyself-reported0.822
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="driboune/skin_type") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")