lvzelan's starred repositories
pytorch-waterbody-segmentation
PyTorch implementation of image segmentation for identifying water bodies from satellite images
Water-body-extraction
We use semantic segmentation methods to extract water body from Sentinel-1 data
water-segmentation
This project is based of the AIcrowd competition LNDST to Detect water bodies 🌊 from satellite Imagery
unet_water_bodies_segmentation
U-net implementation for image segmentation to find water bodies on the image.
LULC-land-use-land-classification-deeplearning-based-model-sementic-segmentation-
This Model was made for Lulc classification of sentinel 2A satellite (built ups , water body , vegetation , barren land )
Mapping_waterbody
Water body detection and mapping using U-Net CNN.
water-segmentation
Segmentation of water bodies on satellite (aerial) images with U-Net
Image-Segmentation-of-Water-Bodies
This is a Project which can create Masks of Satellite Images of Water Bodies (a Kaggle Dataset).
Satellite-Image-Segmentation
Segmentation of satellite images to map individual water bodies or forest areas for enhanced remote monitoring.
water-segmentation
Semantic Segmentation of water bodies from satellite images
water_body_segmentation_using_unet
Segment water pixels from other object pixels in the image using U-Net Implementation from Scratch.
Water-body-image-segmentaion-using-Unet
In this project we are going for two class image segmentation, one as water and one as body surface using U-net architecture.
water_bodies_segmentation
This project uses a CNN based on the U-Net architecture to segment bodies of water in satellite images.