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
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,8 +27,8 @@ tags:
|
|
| 27 |
|
| 28 |

|
| 29 |
|
| 30 |
-
###
|
| 31 |
-
###
|
| 32 |
|
| 33 |
### Model Information - fire火-fuel薪-vegetation植被-image-segmentation-1.0
|
| 34 |
- Red Green Blue (RGB) binary segmentation of particular vegetation in leaf. Shrub or tree applications.
|
|
|
|
| 27 |
|
| 28 |

|
| 29 |
|
| 30 |
+
### 11/20/25 Note - Added Pytorch, Onnx and safetensors
|
| 31 |
+
### 11/20/25 Note - PyTorch version for Colorado beetlekill wildfire fuel is inbound
|
| 32 |
|
| 33 |
### Model Information - fire火-fuel薪-vegetation植被-image-segmentation-1.0
|
| 34 |
- Red Green Blue (RGB) binary segmentation of particular vegetation in leaf. Shrub or tree applications.
|