Update README.md

README.md

@@ -33,11 +33,16 @@ size_categories:
 
 More accessible (6GB instead of 100GB) copy of: https://waller-lab.github.io/LenslessLearning/dataset.html
 
-It was prepared with [this script](https://github.com/LCAV/LenslessPiCam/blob/main/scripts/data/upload_diffusercam_huggingface.py).
+Original license: https://github.com/Waller-Lab/LenslessLearning/blob/master/LICENSE
+
+This dataset was prepared with [this script](https://github.com/LCAV/LenslessPiCam/blob/main/scripts/data/upload_diffusercam_huggingface.py).
 
 After cloning and installing [LenslessPiCam](https://github.com/LCAV/LenslessPiCam), ADMM reconstruction can be applied to the dataset with [this script](https://github.com/LCAV/LenslessPiCam/blob/main/scripts/recon/dataset.py) (handles dataset downloading from Hugging Face).
 ```bash
 python scripts/recon/dataset.py
 ```
 
-Original license: https://github.com/Waller-Lab/LenslessLearning/blob/master/LICENSE
+The models in [this collection](https://huggingface.co/collections/bezzam/diffusercam-mirflickr-65c05164df72cf99e5066658) use the [original DiffuserCam MirFlickr dataset](https://waller-lab.github.io/LenslessLearning/dataset.html) during training.
+This dataset tries to replicate that version of the dataset (using NPY files during training).
+One slight different is that we were required to subtract the mininum of value the numpy arrays so that they could be stored as viewable images.
+For future training, it is recommended to use [this normalized version](https://huggingface.co/datasets/bezzam/DiffuserCam-Lensless-Mirflickr-Dataset-NORM) of the dataset.