# High-Resolution Semantic Segmentation

Dpt Large Ade20k
MIT
A Transformer-based semantic segmentation model optimized for the ADE20K dataset
Image Segmentation Safetensors
D
smp-hub
279
0
Segformer B5 1024x1024 City 160k
Other
Semantic segmentation model based on Segformer architecture, optimized for Cityscapes dataset
Image Segmentation Safetensors
S
smp-hub
445
0
Segformer B0 512x1024 City 160k
Other
A lightweight semantic segmentation model based on the Segformer architecture, pre-trained on the Cityscapes dataset
Image Segmentation
S
smp-hub
44
0
Segformer B4 1024x1024 City 160k
Other
Semantic segmentation model based on Segformer architecture, optimized for Cityscapes dataset
Image Segmentation
S
smp-hub
14
0
Tcd Segformer Mit B5
CC
This is a semantic segmentation model capable of delineating tree cover in high-resolution (10 cm/pixel) aerial images
Image Segmentation Transformers
T
restor
248
0
Tcd Segformer Mit B4
CC
This is a semantic segmentation model capable of delineating tree cover from high-resolution (10 cm/pixel) aerial images.
Image Segmentation Transformers
T
restor
49
0
Tcd Segformer Mit B3
CC
This is a semantic segmentation model capable of delineating tree cover from high-resolution (10 cm/pixel) aerial images.
Image Segmentation Transformers
T
restor
49
0
Tcd Segformer Mit B2
CC
This is a semantic segmentation model capable of accurately delineating tree cover in high-resolution aerial images.
Image Segmentation Transformers
T
restor
76
0
Tcd Segformer Mit B1
CC
This is a semantic segmentation model capable of delineating tree cover in high-resolution (10cm/pixel) aerial images.
Image Segmentation Transformers
T
restor
54
0
Tcd Segformer Mit B0
CC
This is a semantic segmentation model capable of delineating tree-covered areas from high-resolution (10 cm/pixel) aerial images.
Image Segmentation Transformers
T
restor
127
0
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