Fast Segment Anything

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Nvidia Semantic Segmentation monorepo

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

SAM with text prompt

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Segment Anything in High Quality [NeurIPS 2023]

Segment Anything for Stable Diffusion WebUI

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

Semantic Segmentation Architectures Implemented in PyTorch

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

unet for image segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras