Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
Repository Index
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
- yolov5
- object-detection
- pytorch
- onnx
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.
OpenMMLab Detection Toolbox and Benchmark
- object-detection
- instance-segmentation
- fast-rcnn
- faster-rcnn
Rembg is a tool to remove images background
- image-processing
- background-removal
- python
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
- segmentation
- image-processing
- pspnet
- unet
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]
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
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
- computer-vision
- machine-learning
- ai
- matting
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
- yolov9
Fast Segment Anything
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
Real-Time High-Resolution Background Matting
- computer-vision
- machine-learning
- matting
- real-time
"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper)
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
- object-detection
- instance-segmentation
- computer-vision
- small-object-detection
A simple, fully convolutional model for real-time instance segmentation.
- realtime
- real-time
- instance-segmentation
- yolact
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
- pytorch
- semantic-segmentation
- scene-recognition
- ade20k
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
- obs
- obs-plugin
- libobs
- mac-osx
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
- single-object-tracking
- video-object-detection
- multi-object-tracking
- video-instance-segmentation
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
- visual-tracking
- video-object-segmentation
- read-time
- pytorch