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UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

Cellseg_models.pytorch ⭐ 40

Encoder-Decoder Cell and Nuclei segmentation models

Clean, reproducible, boilerplate-free deep learning project template.

Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.

Pytorch Image Classification ⭐ 7

Simple image classification for custom dataset (pytorch-lightning, timm)

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