Welcome to Segmentation Models’s documentation!

Contents:

• 🛠 Installation
• ⏳ Quick Start
• 📦 Segmentation Models
  • Unet
  • Unet++
  • MAnet
  • Linknet
  • FPN
  • PSPNet
  • PAN
  • DeepLabV3
  • DeepLabV3+
• 🏔 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
• 🪐 Timm Encoders
• 📉 Losses
  • Constants
  • JaccardLoss
  • DiceLoss
  • TverskyLoss
  • FocalLoss
  • LovaszLoss
  • SoftBCEWithLogitsLoss
  • SoftCrossEntropyLoss
  • MCCLoss
• 📈 Metrics
  • Functional metrics
• 🔧 Insights
  • 1. Models architecture
  • 2. Creating your own encoder
  • 3. Aux classification output

Indices and tables

• Index

• Module Index

• Search Page