README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - Pytorch
  - mmsegmentation
  - segmentation
  - burn scars
  - Geospatial
  - Foundation model
datasets:
  - ibm-nasa-geospatial/hls_burn_scars
metrics:
  - accuracy
  - IoU
  - F1 Score

Model and Inputs

The pretrained Prithvi-100m parameter model is used for finetuning over Burn Scar task on HLS data. The finetuning expected an input tile of 512x512x6, where 512 is the height and width and 6 is the number of bands. The bands are

1. Blue
2. Green
3. Red
4. Narrow NIR
5. SWIR 1
6. SWIR 2

Code

Code for Finetuning is available through github

Configuration used for finetuning is avaible through config

Results