Examples for fine-tuning Prithvi on EO downstream tasks via TerraTorch
Dataset: https://github.com/cloudtostreet/Sen1Floods11
Tutorial: prithvi_v2_eo_300_tl_unet_sen1floods11.ipynb
Check out the demo of the fine-tuned model: https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-EO-2.0-Sen1Floods11-demo
Dataset: https://huggingface.co/datasets/ibm-nasa-geospatial/hls_burn_scars
Tutorial: prithvi_v2_eo_300_tl_unet_burnscars.ipynb
Check out the demo of the fine-tuned model (Prithvi EO 1.0): https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-100M-Burn-scars-demo
Dataset: https://huggingface.co/datasets/ibm-nasa-geospatial/multi-temporal-crop-classification
Tutorial: prithvi_v2_eo_300_tl_unet_multitemporal_crop.ipynb
Check out the demo of the fine-tuned model (Prithvi EO 1.0): https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-100M-multi-temporal-crop-classification-demo
Sen1Floods11 config: prithvi_v2_eo_300_tl_unet_sen1floods11.yaml
Fine-tuning via CLI:
terratorch fit -c configs/prithvi_v2_eo_300_tl_unet_sen1floods11.yaml
HLS Burn Scars config: prithvi_v2_eo_300_tl_unet_burnscars.yaml
Fine-tuning via CLI:
terratorch fit -c configs/prithvi_v2_eo_300_tl_unet_burnscars.yaml
Multi-temporal Crop config:
Fine-tuning via CLI:
terratorch fit -c configs/prithvi_v2_eo_300_tl_unet_multitemporal_crop.yaml
Prithvi models: https://huggingface.co/ibm-nasa-geospatial
Prithvi EO 2.0 examples: https://github.com/NASA-IMPACT/Prithvi-EO-2.0
TerraTorch examples: https://github.com/IBM/terratorch/tree/main/examples
TerraTorch docs: https://ibm.github.io/terratorch/