Inter IIT Project
- Article: Learn How to Train U-Net On Your Dataset
- Repo: Previously implemented repo
- Paper: CNNs for large scale-remote sensing image Classification
- Paper: RNNs to correct Satellite Image Classification Maps
- Article: Deconvolution
- Report: Various indices from Satellite images
- Water = [0,0,150]
- Trees = [0,125,0]
- Grass = [0,255,0]
- Trains = [255,255,0]
- Soil = [150,80,0]
- Roads = [0,0,0]
- Unlabelled = [255,255,255]
- Buildings = [100,100,100]
- Pools = [150,150,255]
- road:15.2 0.5
- building:21.88 0.5
- tree:8.5 0.4
- grass:6.88 0.4
- soil:0.93 0.35
- water:5.72 0.4
- rail:1.0 0.35
- pool:0.15 0.3
- unlabelled:39.72 0.6