Update README.md

README.md

@@ -20,7 +20,7 @@ LADI-v2-classifier-large is based on [microsoft/swinv2-large-patch4-window12to16
 ## Model Details
 
 ### Model Description
-The model architecture is based on swinv2 and fine-tuned on the LADI v2 dataset, which contains 10,000 aerial images labeled by volunteers from the Civil Air Patrol. The images are labeled using multi-label classification for the following classes:
+The model architecture is based on swinv2 and fine-tuned on the LADI v2 dataset, which contains 10,000 post-disaster aerial images from 2015-2023 labeled by volunteers from the Civil Air Patrol. The images are labeled using multi-label classification for the following classes:
 
 - bridges_any
 - buildings_any
@@ -35,13 +35,6 @@ The model architecture is based on swinv2 and fine-tuned on the LADI v2 dataset,
 - trees_damage
 - water_any
 
-This 'reference' model is trained only on the training split, which contains 8,000 images from 2015-2022. It is provided for the purpose of reproducing the results from the paper. The 'deploy' model is trained on the training, validation, and test sets, and contains 10,000 images from 2015-2023. We recommend that anyone who wishes to use this model in production use the main versions of the models [MITLL/LADI-v2-classifier-small](https://huggingface.co/MITLL/LADI-v2-classifier-small) and [MITLL/LADI-v2-classifier-large](https://huggingface.co/MITLL/LADI-v2-classifier-large).
-
-- **Developed by:** Jeff Liu, Sam Scheele
-- **Funded by:** Department of the Air Force under Air Force Contract No. FA8702-15-D-0001
-- **License:** MIT
-- **Finetuned from model:** [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft)
-
 ## How to Get Started with the Model
 
 LADI-v2-classifier-large is trained to identify features of interest to disaster response managers from aerial images. Use the code below to get started with the model.
@@ -117,6 +110,12 @@ Paper forthcoming - watch this space for details
 
 ---
 
+- **Developed by:** Jeff Liu, Sam Scheele
+- **Funded by:** Department of the Air Force under Air Force Contract No. FA8702-15-D-0001
+- **License:** MIT
+- **Finetuned from model:** [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft)
+---
+
 DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited.  
   
 This material is based upon work supported by the Department of the Air Force under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Department of the Air Force.