Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

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💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

Rembg Video Virtual Green Screen Edition

Meidcal Image Segmentation Pytorch Version

Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.

Plugin para ejecutar el modelo de META Segment Anything en QGIS

[PR] How to Reduce Change Detection to Semantic Segmentation

GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabilities.

Segmentation models for 3D data with different backbones. PyTorch.

Quadra: Effortless and reproducible deep learning workflows with configuration files.

[TMI 2023] XBound-Former: Toward Cross-scale Boundary Modeling in Transformers

Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.

Computer vision models

Streamlit based implementation for the The Segment Anything Model (SAM) developed by Meta AI research