Instructions to use ChantaroNtw/efficientnet-b3-skin-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ChantaroNtw/efficientnet-b3-skin-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ChantaroNtw/efficientnet-b3-skin-classifier") - Notebooks
- Google Colab
- Kaggle
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## Dataset
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The model was trained
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## Dataset
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The model was trained using a custom dataset constructed from the **SCIN (Skin Condition Image Network)** dataset and **DermNet** images. The collected images were manually curated and mapped into eight diagnostic categories.
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