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.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
- object-detection
- instance-segmentation
- fast-rcnn
- faster-rcnn
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.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
- object-detection
- instance-segmentation
- faster-rcnn
- mask-rcnn
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
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
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
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
Real-Time High-Resolution Background Matting
- computer-vision
- machine-learning
- matting
- real-time
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
- segment-anything
- video-object-segmentation
- interactive-tracking
- track-anything
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
- object-detection
- instance-segmentation
- computer-vision
- small-object-detection
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
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
- visual-tracking
- video-object-segmentation
- read-time
- pytorch
Visual tracking library based on PyTorch.
- computer-vision
- tracking
- machine-learning
- visual-tracking