Model Card for Restor's SegFormer based TCD models This is a semantic segmentation model that can delineate tree cover in high resolution (10 cm/px) aerial images. This model card is mostly the same for all similar 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. This repository is for tcd segformer mit b0 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. Developed by: Restor / ETH Zurich 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. This model was t…
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