Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
NVR with realtime local object detection for IP cameras
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.
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
We write your reusable computer vision tools. 💜
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Fast and Accurate ML in 3 Lines of Code
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
All-in-One Development Tool based on PaddlePaddle
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
Turn any computer or edge device into a command center for your computer vision projects.
Add object detection, tracking, mobile notifications, and search to any security camera.
LibreYOLO is a MIT licensed open source computer vision library
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
GTR: Gated Token Recurrence for Efficient Dense Prediction
A 4B diffusion grounding model for fast, precise visual evidence extraction. Unifies diverse grounding tasks through parallel decoding, with optional self-speculative decoding delivering 4.51x autoregressive throughput on COCO.
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.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Most popular metrics used to evaluate object detection algorithms.
Images to inference with no labeling (use foundation models to train supervised models).
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
Frigate integration for Home Assistant
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
MetaSeg: Packaged version of the Segment Anything repository
Python Computer Vision & Video Analytics Framework With Batteries Included
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Eyes are All JEV Needs - real time visual devisions from RGB, video and RGB-D cameras.
Real-time parking lot occupancy detection using existing security cameras and on-device computer vision.
Turn your cameras into Home Assistant sensors with a local AI: garage door open/closed, people and cars, water, gas and power meters read by any camera or ESP32-CAM. 100% local, any CPU.
AI-powered real-time object detection, tracking, and video intelligence platform using YOLO and computer vision.
Official implementation of “A Turbo-Inference Strategy for Object Detection and Instance Segmentation” (CVIU 2026). A training-free framework for iterative refinement between object detection and instance segmentation.
Structured Output Matching & Association: online multi-person tracking built on the structured output of a multi-task wholebody detector, one whole-frame pass per frame (plus per-crop ReID embeddings in SOMA-R) — no tiling, no offline post-processing.
YOLO11 research prototype for detecting people associated with potentially dangerous objects in public-area imagery, with thesis evidence, reproducibility notes, and responsible-use guidance.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
无人机投粮器 YOLO 检测与 SegFormer 地块语义分割组合项目:配置、脚本、训练日志、实验记录与部署说明。