Image Segmentation
PyTorch
timm
segformer
mit-b4
transformer
segmentation-models-pytorch
remote-sensing
sentinel-2
rgb
cloud-detection
Instructions to use Burdenthrive/cloud-detection-segformer-mit_b4-RGB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Burdenthrive/cloud-detection-segformer-mit_b4-RGB with timm:
import timm model = timm.create_model("hf_hub:Burdenthrive/cloud-detection-segformer-mit_b4-RGB", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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| { | |
| "task": "image-segmentation", | |
| "model_name": "segformer-mit-b4", | |
| "model_kwargs": { | |
| "encoder_name": "mit_b4", | |
| "encoder_weights": "imagenet", | |
| "in_channels": 3, | |
| "num_classes": 4, | |
| }, | |
| "classes": ["clear", "thick cloud", "thin cloud", "cloud shadow"], | |
| "input_bands": ["B04", "B03", "B02"] | |
| } | |