C

computer-vision

Real-time theft detection system using YOLOv8/v11 pose estimation on CCTV feeds

Sign Language Recognition using Computer Vision and Deep Learning

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

GitHub: https://github.com/ultralytics/ultralytics

https://platform.ultralytics.com

Agent skills for Ultralytics YOLO, covering models, datasets, training, tuning, inference, tracking, and export.

GitHub: https://github.com/ultralytics/skills

https://www.ultralytics.com

Official Python SDK for the Ultralytics Platform API

GitHub: https://github.com/ultralytics/sdk

https://platform.ultralytics.com/api/docs

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

GitHub: https://github.com/ultralytics/inference

https://docs.ultralytics.com/inference

PyTorch model profiler for computing MACs and parameter counts to measure deep learning model complexity.

GitHub: https://github.com/ultralytics/thop

https://pypi.org/project/ultralytics-thop/

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

GitHub: https://github.com/ultralytics/yolo-flutter-app

https://pub.dev/packages/ultralytics_yolo

Ultralytics model comparison docs and automated QA for websites, links, spelling, sitemaps, and image sizes.

GitHub: https://github.com/ultralytics/docs

https://docs.ultralytics.com

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

GitHub: https://github.com/ultralytics/yolov3

https://docs.ultralytics.com/models/yolov3/

Aligns portrait photographs onto a fixed 2048 face grid for mosaic work

Local-first, vision-LLM CAPTCHA solver for AI agents — MCP plugin + NopeCHA-style HTTP job API over any Chromium

Ready-to-use Cog deployments and CI/CD for running Ultralytics YOLO11, YOLO World, YOLOE, and YOLO26 models on Replicate.

GitHub: https://github.com/ultralytics/replicate

https://replicate.com/ultralytics/yolo11n

Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

GitHub: https://github.com/ultralytics/notebooks

https://docs.ultralytics.com

Retired Python SDK for the shut-down Ultralytics HUB API, kept for reference; build new integrations on the Ultralytics Platform REST API

GitHub: https://github.com/ultralytics/hub-sdk

https://docs.ultralytics.com/platform/api

Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets.

GitHub: https://github.com/ultralytics/assets

https://docs.ultralytics.com

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

GitHub: https://github.com/ultralytics/yolov5

https://docs.ultralytics.com/yolov5/

Bing image scraper with HTML and Selenium search, format filters, CLI and Python APIs, and dataset downloads.

GitHub: https://github.com/ultralytics/google-images-download

https://ultralytics.com

Python Flickr image scraper for building keyword-based computer vision datasets with pagination and deduplication.

GitHub: https://github.com/ultralytics/flickr_scraper

https://ultralytics.com

An open-source computer vision framework for wildlife image analysis, featuring state-of-the-art models for species classification and detection.