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# DeepLabV3

The DeepLabV3 model is based on the Rethinking Atrous Convolution for Semantic Image Segmentation paper.

Warning

The segmentation module is in Beta stage, and backward compatibility is not guaranteed.

## Model builders

The following model builders can be used to instantiate a DeepLabV3 model with different backbones, with or without pre-trained weights. All the model builders internally rely on the `torchvision.models.segmentation.deeplabv3.DeepLabV3` base class. Please refer to the source code for more details about this class.

`deeplabv3_mobilenet_v3_large`(*[, weights, ...]) | Constructs a DeepLabV3 model with a MobileNetV3-Large backbone.
`deeplabv3_resnet50`(*[, weights, progress, ...]) | Constructs a DeepLabV3 model with a ResNet-50 backbone.
`deeplabv3_resnet101`(*[, weights, progress, ...]) | Constructs a DeepLabV3 model with a ResNet-101 backbone.

## Docs

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## Tutorials

Get in-depth tutorials for beginners and advanced developers

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## Resources

Find development resources and get your questions answered

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