|
--- |
|
title: Wetland Segmentation Deeplabsv3plus 🌿☘️ |
|
emoji: 💻 |
|
colorFrom: blue |
|
colorTo: blue |
|
sdk: gradio |
|
sdk_version: 5.21.0 |
|
app_file: app.py |
|
pinned: false |
|
license: apache-2.0 |
|
short_description: image segmentation |
|
--- |
|
|
|
|
|
# Wetlands Segmentation App |
|
|
|
This Hugging Face Space provides an interactive web interface for segmenting wetland areas in satellite imagery using a DeepLabv3+ model. |
|
|
|
## Features |
|
|
|
- Upload satellite imagery in common formats (JPG, PNG) or GeoTIFF format |
|
- Optionally upload ground truth masks for evaluation |
|
- Visualize wetland segmentation predictions |
|
- Calculate metrics (IoU, Precision, Recall, F1) when ground truth is provided |
|
- View wetland coverage percentage statistics |
|
|
|
## Usage Instructions |
|
|
|
1. **Upload Input Image**: |
|
- Use the "Upload Image" tab for common image formats (JPG, PNG, etc.) |
|
- Use the "Upload TIFF" tab for GeoTIFF files with multiple bands |
|
|
|
2. **Upload Ground Truth (Optional)**: |
|
- If you have a ground truth mask, upload it to see evaluation metrics |
|
- The ground truth should be a binary mask where white (255) represents wetlands |
|
|
|
3. **Analyze**: |
|
- Click the "Analyze Image" button to process the image |
|
- View the segmentation results and statistics |
|
|
|
## Model Information |
|
|
|
This app uses a model from the [dcrey7/wetlands_segmentation_deeplabsv3plus](https://huggingface.co/dcrey7/wetlands_segmentation_deeplabsv3plus) repository. |
|
|
|
**Model Architecture:** |
|
- DeepLabv3+ with ResNet-50 backbone |
|
- Input: RGB satellite imagery (optimal size: 128×128 pixels) |
|
- Output: Binary segmentation mask (Wetland vs Background) |
|
|
|
The model was trained on a dataset of satellite imagery containing wetland regions, focusing on environmental monitoring and conservation planning applications. |
|
|
|
## Example Output |
|
|
|
When you upload an image, the app will display: |
|
- The original input image |
|
- The predicted wetland segmentation mask |
|
- Ground truth mask (if provided) |
|
- Statistics including wetland coverage percentage |
|
- Evaluation metrics (if ground truth is provided) |
|
|
|
## Limitations |
|
|
|
- The model works best on imagery similar to its training data |
|
- Performance may vary depending on image quality and characteristics |
|
- The model is designed for 128×128 pixel inputs (images will be resized) |
|
- While the model can process images with any number of bands, it was trained on RGB data |
|
|
|
## License |
|
|
|
This application and the underlying model are available under the Apache 2.0 license. |
|
|
|
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
|
|
