Object Detection GitHub Repositories (2026) · Open Source Tools

NVR with realtime local object detection for IP cameras

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Learn autonomous driving by building it: Python simulations and an open textbook where the system grows one stage at a time. Swap and compare localization, planning and control algorithms in the same system.

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]

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

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.

The open platform for AI on your cameras: a self-hosted NVR (ONVIF/RTSP, recording, WebRTC) running any AI model through one open contract, with an app SDK and one-click apps. New capabilities arrive as software, not new boxes. Air-gapped or connected, audited end to end. Home Assistant built in. AGPLv3. A Frigate/ZoneMinder alternative.

Eyes are All JEV Needs - real time visual devisions from RGB, video and RGB-D cameras.

Refine high-quality datasets and visual AI models

Neural Network Compression Framework for enhanced OpenVINO™ inference

Lightweight self-hosted NVR in Go — single static binary, zero dependencies, embedded web UI. RTSP/ONVIF/Xiaomi/GB28181/WHIP cameras, RTMP/SRT push-in, WebRTC/HLS/FLV live view, audio, timelapse, continuous playback, S3 offload, browser-side AI detection. Runs on low-power ARM.

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

We write your reusable computer vision tools. 💜

Fast and Accurate ML in 3 Lines of Code

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).

ROS 2 wrapper for the ZED SDK

The fully OSS lightweight network video recorder system witten in C with modern js frontend

High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.