Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
- yolov5
- object-detection
- pytorch
- onnx
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
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.
[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
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
A Comprehensive Toolkit for High-Quality PDF Content Extraction
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
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Object detection, 3D detection, and pose estimation using center point detection:
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
- tensorflow
- graph
- darknet
- deep-learning
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
A Unified Toolkit for Deep Learning Based Document Image Analysis
- layout-analysis
- deep-learning
- object-detection
- ocr
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
- object-detection
- instance-segmentation
- computer-vision
- small-object-detection
A PyTorch Implementation of Single Shot MultiBox Detector
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
- deep-learning
- autonomous-driving
- computer-vision
- object-detection
Single Shot MultiBox Detector in TensorFlow
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
- pytorch
- object-detection
- faster-rcnn
- voc
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