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
1–24 of 27 · Most stars
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
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
- mask-rcnn
- tensorflow
- object-detection
- instance-segmentation
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
[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
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]
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
A Keras implementation of YOLOv3 (Tensorflow backend)
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.
[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
PyTorch ,ONNX and TensorRT implementation of YOLOv4
- yolov4
- pytorch
- darknet2pytorch
- darknet2onnx
Single Shot MultiBox Detector in TensorFlow
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
A Simple and Versatile Framework for Object Detection and Instance Recognition
- mxnet
- object-detection
- instance-segmentation
Add object detection, tracking, mobile notifications, and search to any security camera.
- object-detection
- tinygrad
- selfhosted
- nvr
R-CNN: Regions with Convolutional Neural Network Features
tensorflow implementation of 'YOLO : Real-Time Object Detection'
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning