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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use markrodrigo/vegetation-image-segmentation 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://markrodrigo/vegetation-image-segmentation") - Notebooks
- Google Colab
- Kaggle
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### 7/22/25 Note - A
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### Model Information - fire火-fuel薪-vegetation植被-image-segmentation-1.0
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- Red Green Blue (RGB) binary segmentation of particular vegetation in leaf. Shrub or tree applications.
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LoRA adapter of base segmentation vegetation model.
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**Example - Not currently available.**
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Moderate to extreme beetle kill.
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### 9/22/25 Note - PyTorch model inbound soon
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### 7/22/25 Note - A PyTorch version of this model is inbound for vegetation and a PyTorch version for Colorado beetlekill wildfire fuel
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### Model Information - fire火-fuel薪-vegetation植被-image-segmentation-1.0
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- Red Green Blue (RGB) binary segmentation of particular vegetation in leaf. Shrub or tree applications.
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</br>
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LoRA adapter of base segmentation vegetation model.
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</br>
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**Example - Model Not currently available.**
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</br>
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Moderate to extreme beetle kill.
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