Wetlands Segmentation from Satellite Imagery
Upload a satellite image or TIFF file to identify wetland areas. Optionally, you can also upload a ground truth mask for evaluation.
Input
Results
About this model
This application uses a DeepLabv3+ model trained to segment wetland areas in satellite imagery.
Model Details:
- Architecture: DeepLabv3+ with ResNet-34
- Input: RGB satellite imagery
- Output: Binary segmentation mask (Wetland vs Background)
- Resolution: 128×128 pixels
Tips for best results:
- The model works best with RGB satellite imagery
- For optimal results, use images with similar characteristics to those used in training
- The model focuses on identifying wetland regions in natural landscapes
- For ground truth masks, both TIFF and standard image formats are supported
Repository: dcrey7/wetlands_segmentation_deeplabsv3plus