Image Classification
Keras
English
tensorflow
image-classification-multiclass
efficientnetv2
cabbage
plant-disease-classification
agricultural-ai
computer-vision
transfer-learning
leaf-disease
Eval Results (legacy)
Instructions to use Arko007/cabbageguard-efficientnetv2-8class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Arko007/cabbageguard-efficientnetv2-8class with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Arko007/cabbageguard-efficientnetv2-8class") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af4387b546edce532588a73f6c5a2bdd55a5976e8362cfb3ef28d1eef2892042
- Size of remote file:
- 139 MB
- SHA256:
- 13a1d831a89f4607ab8184a17044665fb462497a3636d3d226cc345fd769ddbc
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