Image Classification
Keras
English
agriscan
agriculture
plant-disease
crop-classification
efficientnet
efficientnetb0
tensorflow
plantvillage
Instructions to use Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Vernard/AgriScan_EfficientNetB0_Two_Classifier_Training") - Notebooks
- Google Colab
- Kaggle
File size: 551 Bytes
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"Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot",
"Corn_(maize)___Common_rust_",
"Corn_(maize)___Northern_Leaf_Blight",
"Corn_(maize)___healthy",
"Potato___Early_blight",
"Potato___Late_blight",
"Potato___healthy",
"Tomato___Bacterial_spot",
"Tomato___Early_blight",
"Tomato___Late_blight",
"Tomato___Leaf_Mold",
"Tomato___Septoria_leaf_spot",
"Tomato___Spider_mites Two-spotted_spider_mite",
"Tomato___Target_Spot",
"Tomato___Tomato_Yellow_Leaf_Curl_Virus",
"Tomato___Tomato_mosaic_virus",
"Tomato___healthy"
] |