Instructions to use gabri14el/grapevine_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use gabri14el/grapevine_classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://gabri14el/grapevine_classification") - Notebooks
- Google Colab
- Kaggle
Classification of Grape Varieties using Convolutional Neural Network Models
The full credit goes to: [Gabriel Carneiro] (https://www.linkedin.com/in/gabriel-carneiro-81a13a64/)
Supported varieties
- Códega
- Moscatel Galego
- Rabigato
- Tinta Roriz
- Tinto Cao
- Touriga Nacional
Explainable AI support
We also supported algorithms of Explainable AI. The Grad-CAM, Grad-CAM++, and LIME.
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