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
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
- mask-rcnn
- tensorflow
- object-detection
- instance-segmentation
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.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
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
"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
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
- dichotomous-image-segmentation
- salient-object-detection
- camouflaged-object-detection
- background-removal
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
- artificial-intelligence
- deep-learning
- machine-learning
- segmentation
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
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
- fcos
- blendmask
- abcnet
- object-detection
A Simple and Versatile Framework for Object Detection and Instance Recognition
- mxnet
- object-detection
- instance-segmentation
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Deep Learning Library for Single Cell Analysis
- deep-learning
- tensorflow
- instance-segmentation
- cell-biology