Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
Repository Index
59,621 visible repositories in the index
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
- yolov5
- object-detection
- pytorch
- onnx
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
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
- dnn
- deep-learning
- deep-neural-networks
- deep-learning-tutorial
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
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
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- scaled-yolov4
- yolor
- yolov3
- yolov4
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.
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
- object-detection
- open-world
- open-world-detection
- vision-language
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
- yolov3
- object-detection
- yolo
- deep-learning
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
- yolov9
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
- artificial-intelligence
- machine-learning
- prediction
- image-prediction
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
- deep-neural-networks
- deep-learning
- object-detection
- anchor-free
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
- tensorflow
- graph
- darknet
- deep-learning
A Unified Toolkit for Deep Learning Based Document Image Analysis
- layout-analysis
- deep-learning
- object-detection
- ocr
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
- rtdetr
- rtdetrv2
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
- object-detection
- instance-segmentation
- computer-vision
- small-object-detection
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
- efficientdet
- efficientnet
- pytorch
- object-detection
A PyTorch Implementation of Single Shot MultiBox Detector