1.ultralytics / ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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41 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
NVR with realtime local object detection for IP cameras
We write your reusable computer vision tools. 💜
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Refine high-quality datasets and visual AI models
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
CVPR 2026 论文和开源项目合集
deep learning for image processing including classification and object-detection etc.
OpenMMLab Detection Toolbox and Benchmark
Fast and Accurate ML in 3 Lines of Code
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Techniques for deep learning with satellite & aerial imagery
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
OpenMMLab's next-generation platform for general 3D object detection.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
StarDist - Object Detection with Star-convex Shapes
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
A paper list of object detection using deep learning.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
A Simple and Versatile Framework for Object Detection and Instance Recognition
YOLO ROS: Real-Time Object Detection for ROS
An open source library and framework for deep learning on satellite and aerial imagery.
World's first general purpose 3D object detection codebse.
Accelerated deep learning R&D
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Deep Hough Voting for 3D Object Detection in Point Clouds
Address book for computer vision models.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A collection of computer vision pre-trained models.
Build fully-functioning computer vision models with PyTorch
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.