Update README.md

README.md

@@ -18,15 +18,19 @@ other works around remote sensing modeling. Being able to handle a time series o
 ### Pre-training
 The model was pre-trained with NASA's HLS2 L30 product (30m granularity) from Continental United States. The bands that were used are the following: 
 
-* Blue
-* Green
-* Red
-* Narrow NIR
-* SWIR 1
-* SWIR 2
+1. Blue
+2.  Green
+3.  Red
+4.  Narrow NIR
+5.  SWIR 1
+6.  SWIR 2
 
 ### Code
 The model follows the [original mae repo](https://github.com/facebookresearch/mae) with some modifications including:
+
 1. replace 2D patch embed with 3D patch embed;
 2. replace 2D positional embed with 3D positional embed;
-3. replace 2D patchify and unpatchify with 3D.
+3. replace 2D patchify and unpatchify with 3D.
+
+### Finetuning examples
+Two examples of finetuning the model for image segmentation (i.e. flood detection and burn scars detection) using the mmsegmentation library are available through [github](https://github.com/NASA-IMPACT/hls-foundation-os/tree/main/fine-tuning-examples).