🩵 Wrist Undertone Classifier 🩷💛

Determine your skin undertone (Cool, Warm, or Neutral) using a wrist photo!

🧠 Overview

This TensorFlow model predicts whether a user's wrist undertone is Cool, Warm, or Neutral based on an uploaded image of their wrist.
It is designed for use in beauty, skincare, and fashion applications — helping users find colors that best match their natural undertone.

⚙️ Model Details

Property	Description
Framework	TensorFlow (SavedModel format)
Input	Wrist image (`.jpg`, `.jpeg`, `.png`)
Output	One of three classes: `cool`, `warm`, or `neutral`
License	MIT
Language	English

🧩 Example Inference (Python)

You can use the 🤗 huggingface_hub client to test this model programmatically.

from huggingface_hub import InferenceClient

client = InferenceClient("https://api-inference.huggingface.co/models/Salvatore7262/ronaundertone-detector")

with open("my_wrist.jpg", "rb") as f:
    result = client.post(
        json=None,
        data=f,
        headers={"Content-Type": "image/jpeg"},
    )

print(result.json())

Downloads last month: 5