Repository Index

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

• ultralytics
• yolov8
• yolo
• deep-learning

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

• yolov5
• object-detection
• pytorch
• onnx

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

• open-vocabulary-detection
• open-vocabulary-segmentation
• data-generation
• automatic-labeling-system

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

• semantic-segmentation
• pytorch
• pspnet
• deeplabv3

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 Matting, 3D Segmentation, etc.

• semantic-segmentation
• image-segmentation
• image-matting
• interactive-segmentation

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Segment Anything in Medical Images

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

[IEEE TMI Best Paper Award] Official Implementation for UNet++

• medical-imaging
• segmentation
• unet
• biomedical-imaging

[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

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.

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

• segmentation
• deep-learning
• pytorch
• medical-imaging

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

• computer-vision
• machine-learning
• deep-learning
• autonomous-vehicles

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

U-Net Brain Tumor Segmentation

• tensorflow
• tensorlayer
• unet
• medical-imaging

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

• ai
• cell
• digitalpathology
• microscopy

PyTorch Connectomics: segmentation toolbox for EM connectomics

• computer-vision
• neuroscience
• connectomics
• pytorch

Collection of mathematical morphology methods and plugins for ImageJ

• image-processing
• image-analysis
• imagej
• fiji

Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy

• biology
• fluorescence
• image-analysis
• image-processing