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README.md

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   example_title: Urban scene
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-# Model Card for restor-tcd-segformer-mit-bx
+# Model Card for Restor's SegFormer-based TCD models
 
 This is a semantic segmentation model that can delineate tree cover in aerial images.
 
+This model card refers to several models uploaded to Hugging Face. The model name refers to the specific architecture variant (e.g. nvidia-mit-b0 to nvidia-mit-b5) but the broad details for training and evaluation are identical.
+
 ## Model Details
 
 ### Model Description
 
 This semantic segmentation model was trained on global aerial imagery and is able to accurately delineate tree cover in similar images. The model does not detect individual trees, but provides a per-pixel classification of tree/no-tree.
 
-This model card refers to several models uploaded to Hugging Face. The model name refers to the specific architecture variant (e.g. nvidia-mit-b0 to nvidia-mit-b5) but the broad details for training and evaluation are identical.
-
-- **Developed by:** Restor / ETH Zurich
-- **Funded by:** This project was made possible via a Google.org impact grant
+- **Developed by:** [Restor](https://restor.eco) / [ETH Zurich](https://ethz.ch)
+- **Funded by:** This project was made possible via a (Google.org impact grant)[https://blog.google/outreach-initiatives/sustainability/restor-helps-anyone-be-part-ecological-restoration/]
 - **Model type:** Semantic segmentation (binary class)
 - **License:** Model training code is provided under an Apache-2 license. NVIDIA has released SegFormer under their own research license. Users should check the terms of this license before deploying.
 - **Finetuned from model:** SegFormer family