Repository Index

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

• pytorch
• unet
• pytorch-unet
• semantic-segmentation

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

• computer-vision
• detr
• machine-learning
• object-detection

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

• computer-vision
• deep-learning
• image-background-removal
• image-processing

Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.

• background-remover
• backgroundremover
• removebackground
• remove-background

Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.

• background-removal
• javascript
• open-source
• typescript

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Segment Anything in High Quality [NeurIPS 2023]

• sam
• segmentation
• segment-anything
• zero-shot-segmentation

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

• fcos
• blendmask
• abcnet
• object-detection

Semantic Segmentation Architectures Implemented in PyTorch

• pytorch
• semantic-segmentation
• deep-learning
• fully-convolutional-networks

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

• face-detection
• gender-prediction
• iris-tracking
• body-tracking

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

• interactive-segmentation
• segment-anything
• segment-anything-model
• video-object-segmentation

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

• semi-supervised-learning

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

• background-removal
• deep-learning
• dichotomous-image-segmentation
• computer-vision

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Corridor Key 2.0 for all your green and blue screen needs

• blue-screen
• chroma-key
• compositing
• green-screen

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

• satellite-imagery
• aerial-imagery
• machine-learning
• segmentation

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

• convolutional-neural-networks
• attention-model
• image-classification
• image-segmentation

Automatically "block" people in images (like Black Mirror) using a pretrained neural network.

Generic U-Net Tensorflow implementation for image segmentation

• image-segmentation
• neural-network
• deep-learning
• tensorflow

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

• solo
• instance-segmentation
• object-detection
• pytorch

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

• machine-learning
• python
• remove-background
• pytorch