Segmentation Models
latest
Contents:
๐ Installation
โณ Quick Start
๐ฆ Segmentation Models
๐ Available Encoders
๐ช Timm Encoders
๐ Losses
๐ Metrics
๐ง Insights
Segmentation Models
Segmentation Models
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Welcome to Segmentation Modelsโs documentation!
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Welcome to Segmentation Modelsโs documentation!
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Contents:
๐ Installation
โณ Quick Start
๐ฆ Segmentation Models
Unet
Unet++
MAnet
Linknet
FPN
PSPNet
PAN
DeepLabV3
DeepLabV3+
๐ Available Encoders
ResNet
ResNeXt
ResNeSt
Res2Ne(X)t
RegNet(x/y)
GERNet
SE-Net
SK-ResNe(X)t
DenseNet
Inception
EfficientNet
MobileNet
DPN
VGG
Mix Visual Transformer
MobileOne
๐ช Timm Encoders
๐ Losses
Constants
JaccardLoss
DiceLoss
TverskyLoss
FocalLoss
LovaszLoss
SoftBCEWithLogitsLoss
SoftCrossEntropyLoss
MCCLoss
๐ Metrics
Functional metrics
๐ง Insights
1. Models architecture
2. Creating your own encoder
3. Aux classification output
Indices and tables
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Index
Module Index
Search Page
Read the Docs
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Versions
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