Instructions to use kero2111/Plant_Disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kero2111/Plant_Disease with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kero2111/Plant_Disease") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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# Plant Disease Classification Model
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This repository contains a pre-trained InceptionResNetV2 model for plant disease classification. The model can classify 38 different plant diseases and healthy conditions across various plant species.
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---
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language:
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- en
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tags:
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- image-classification
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- plant-disease
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- keras
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- tensorflow
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- computer-vision
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- agriculture
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license: mit
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datasets:
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- plant-disease-dataset
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metrics:
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- accuracy
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library_name: keras
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pipeline_tag: image-classification
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---
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# Plant Disease Classification Model
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This repository contains a pre-trained InceptionResNetV2 model for plant disease classification. The model can classify 38 different plant diseases and healthy conditions across various plant species.
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