# High-precision semantic segmentation
Upernet Convnext Xlarge
MIT
UPerNet semantic segmentation model based on ConvNeXt-XLarge encoder, suitable for high-precision image segmentation tasks
Image Segmentation
U
smp-hub
62
0
Cbzlvzw
MIT
A PyTorch-based semantic segmentation model that supports various encoder architectures, suitable for image segmentation tasks.
Image Segmentation
C
Diamantis99
70
0
Ambubv9
MIT
A PyTorch-based Unet image segmentation model supporting various encoder architectures, suitable for semantic segmentation tasks.
Image Segmentation
A
Diamantis99
59
0
Iiihi24
MIT
A PyTorch-based semantic segmentation model supporting various encoder architectures, suitable for image segmentation tasks.
Image Segmentation
I
Diamantis99
115
0
M6xl7qv
MIT
PyTorch-based Unet image segmentation model supporting multiple encoder architectures and pre-trained weights
Image Segmentation
M
Diamantis99
52
0
Segformer B5 Finetuned IDD L2 V2
Other
This model is an image segmentation model based on NVIDIA's MIT-B5 architecture, fine-tuned on the IDD 20K semantic segmentation dataset, suitable for road scene understanding tasks.
Image Segmentation
S
izzako
29
0
Deeplabv3plus Tu Resnet18
MIT
PyTorch-based semantic segmentation model supporting multiple encoder architectures
Image Segmentation
D
smp-test-models
213
0
GID Segmentation FPN Resnet34
MIT
FPN-based image segmentation model with ResNet34 encoder, optimized for GID dataset
Image Segmentation
G
jiabing24
16
0
Segformer B0 Flair One
Apache-2.0
SegFormer is an efficient semantic segmentation model based on Transformer, with the b0 version being its lightweight implementation.
Image Segmentation
Transformers

S
alanoix
14
1
Dpt Large Ade
Apache-2.0
This is a Dense Prediction Transformer (DPT) model fine-tuned on the ADE20k dataset for semantic segmentation tasks.
Image Segmentation
Transformers

D
Intel
3,497
8
Featured Recommended AI Models