SAR-SIAD-2025:Pond/Water Body Detection from Satellite Image.

This dataset contains a satellite image focused on aquaculture ponds and water bodies, along with corresponding ,annotation files in CSV format. The dataset is designed for research in pond/water body detection, image segmentation, and land-use classification.

The annotations provide labeled information to distinguish between Water Bodies (ponds, reservoirs) and Non-Water Areas (agriculture, vegetation, and built-up regions), making it suitable for training and evaluating computer vision models.

File Information
- Total Files/Size: 36.3 MB
- Image(s):Total: 930 images, PNG format (satellite image(s) of ponds and surroundings)
- Annotation(s): CSV format
- Columns: image_id, x_min, y_min, x_max, y_max, label
- Labels:
-1 = Water Body (ponds, reservoirs)
- 0 = Non-Water (fields, vegetation, built-up areas)

Applications
- Automated pond/water body detection
- Image segmentation and classification in remote sensing
- Aquaculture monitoring and resource management
- Training/testing deep learning models for land-use analysis