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:
- 517e2722d24ff73a6b05f14eba1556b25333e2ca09002ed02b0ba0865bc4ff01
- Size of remote file:
- 124 MB
- SHA256:
- bcc35210445ac77fee1bacc9ec739b869c4bb0d591e6c4c7ca65d26397def62d
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