Image Segmentation
Keras
ONNX
English
Chinese
Keras
TF-Keras
Safetensors
TensorFlow
biology
agriculture
weeds
vegetation
camouflage
deep learning
imagery
segmentation
medical
forest fire
wildfire
fuel
Instructions to use markrodrigo/vegetation-image-segmentation-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use markrodrigo/vegetation-image-segmentation-1.0 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://markrodrigo/vegetation-image-segmentation-1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 700cb680b8238c29eccab86f206e76ecb7f60384717bb010921949de9854a21c
- Size of remote file:
- 373 MB
- SHA256:
- 775f2239f6e85d5a32d9472e56443f2b3036fa1e1011c492a1dd065488199e55
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