blakeblackshear/frigate
NVR with realtime local object detection for IP cameras
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NVR with realtime local object detection for IP cameras
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.
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.
Add object detection, tracking, mobile notifications, and search to any security camera.
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
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.
LibreYOLO is a MIT licensed open source computer vision library
NVIDIA DeepStream Monorepo: DeepStream SDK and reference apps for building GPU‑accelerated, real-time video and multi‑sensor analytics pipelines with GStreamer, TensorRT, and vision AI models across edge, on‑prem, and cloud deployments.
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.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Refine high-quality datasets and visual AI models
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel® XPU (CUDA also supported).
Frigate integration for Home Assistant
[TMLR 26] EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation
Fast and Accurate ML in 3 Lines of Code
Turn any computer or edge device into a command center for your computer vision projects.
Neural Network Compression Framework for enhanced OpenVINO™ inference
High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.
Open-source AI video platform: a self-hosted NVR (ONVIF/RTSP, recording, WebRTC) plus any AI model through one adapter contract, an app SDK and a catalog of ready-made apps. Offline-first, air-gapped capable, Home Assistant built in. AGPLv3. A Frigate / ZoneMinder alternative you can build on.
YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26.
All-in-One Development Tool based on PaddlePaddle
Most popular metrics used to evaluate object detection algorithms.
⚡️The spatial perception framework for rapidly building smart robots and spaces
High-performance, privacy-first on-device AI inference library for React Native, powered by PyTorch's ExecuTorch runtime
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