ibm-nasa-geospatial
/

Prithvi-EO-1.0-100M-burn-scar

Image Segmentation

Foundation model

Model card Files Files and versions

thesujitroy commited on Jul 20, 2023

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c1a9a1c

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@@ -18,7 +18,7 @@ metrics:
 ---
 ### 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
@@ -30,7 +30,7 @@ The finetuning expected an input tile of 512x512x6, where 512 is the height and
 ### Code
 Code for Finetuning is available through [github](https://github.com/NASA-IMPACT/hls-foundation-os/tree/main/fine-tuning-examples)
-Configuration used for finetuning is avaible through [config](https://github.com/NASA-IMPACT/hls-foundation-os/blob/main/fine-tuning-examples/configs/firescars_config.py
 )

 ---
 ### Model and Inputs
+The pretrained [Prithvi-100m](https://huggingface.co/ibm-nasa-geospatial/burn-scar-Prithvi-100M) parameter model is used for finetuning over the 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
 ### Code
 Code for Finetuning is available through [github](https://github.com/NASA-IMPACT/hls-foundation-os/tree/main/fine-tuning-examples)
+Configuration used for finetuning is available through [config](https://github.com/NASA-IMPACT/hls-foundation-os/blob/main/fine-tuning-examples/configs/firescars_config.py
 )