PyPI
ultralytics/ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
AGPL-3.016 вер. 2026 р. · метрики 2.10.0
Усі теги
Тег каталогу
#object-detection
Усі репозиторії публічного реєстру з цим тегом — із тем GitHub або ключових слів, які публікують їхні реєстри пакетів. Здоров'я вимірюється за тією ж версіонованою методологією, що й решта реєстру.
34 записи
PyPI · npm
voxel51/fiftyone
Refine high-quality datasets and visual AI models
Apache-2.017 вер. 2026 р. · метрики 2.10.0
PyPI
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Apache-2.027 серп. 2026 р. · метрики 2.10.0
PyPI
openvinotoolkit/nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
Apache-2.017 вер. 2026 р. · метрики 2.10.0
PyPI
roboflow/rf-detr
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
Apache-2.017 вер. 2026 р. · метрики 2.10.0
npm
software-mansion/react-native-executorch
High-performance, privacy-first on-device AI inference library for React Native, powered by PyTorch's ExecuTorch runtime
Власна ліцензія17 жовт. 2026 р. · метрики 2.10.0
PyPI
roboflow/supervision
We write your reusable computer vision tools. 💜
MIT17 вер. 2026 р. · метрики 2.10.0
Go · npm
mudler/LocalAI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
MIT16 вер. 2026 р. · метрики 2.10.0
PyPI
albumentations-team/AlbumentationsX
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
AGPL-3.015 вер. 2026 р. · метрики 2.10.0
PyPI
obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
MIT15 вер. 2026 р. · метрики 2.10.0
PyPI
CVHub520/X-AnyLabeling
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
GPL-3.015 жовт. 2026 р. · метрики 2.10.0
PyPI · npm
roboflow/inference
Turn any computer or edge device into a command center for your computer vision projects.
Власна ліцензія21 жовт. 2026 р. · метрики 2.10.0
npm · PyPI
roflcoopter/viseron
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.
MIT21 жовт. 2026 р. · метрики 2.10.0
PyPI · crates.io
derekallman/hotcoco
Perception evaluation toolkit in Rust with Python bindings. A pycocotools drop-in for COCO, LVIS, and Open Images detection metrics, up to 36× faster, plus TIDE error analysis, confusion matrices, calibration, model comparison, and a dataset browser.
MIT7 жовт. 2026 р. · метрики 2.10.0
PyPI
shoumikchow/bbox-visualizer
Make drawing and labeling bounding boxes a piece of cake
MIT12 вер. 2026 р. · метрики 2.10.0
PyPI
Project-AgML/AgML
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.
Apache-2.021 жовт. 2026 р. · метрики 2.10.0
npm
SenteraLLC/ulabel
A browser-based tool for image annotation
MIT15 вер. 2026 р. · метрики 2.10.0
npm · PyPI
cameraui/camera.ui
The modern, local-first platform for professional video surveillance.
MIT8 вер. 2026 р. · метрики 2.10.0
PyPI
yoshitomo-matsubara/torchdistill
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.
MIT19 жовт. 2026 р. · метрики 2.10.0
NuGet
iyulab/lm-supply
.NET library for on-demand local AI model inference — zero bundled models, lazy loading, hardware-aware GPU/CPU selection, 10 task types including embeddings, generation, vision, and audio.
MIT10 вер. 2026 р. · метрики 2.10.0
PyPI
videoflow/videoflow
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
MIT17 вер. 2026 р. · метрики 2.10.0
PyPI
K-saif/pixpick
Interactive vision input toolkit for CV frameworks, generate bbox, polygons, lines and points for Ultralytics, SAM, Supervision and many more.
MIT11 вер. 2026 р. · метрики 2.10.0
PyPI · npm
mauriciobenjamin700/ort-vision-sdk
Опис репозиторію не опубліковано.
MIT16 вер. 2026 р. · метрики 2.10.0
npm
amanharshx/ultralytics-mcp
MCP for Ultralytics Platform workflows, datasets, training, prediction, and model operations.
MIT13 вер. 2026 р. · метрики 2.10.0
—
stereolabs/zed-ros2-wrapper
ROS 2 wrapper for the ZED SDK
Apache-2.021 жовт. 2026 р. · метрики 2.10.0
PyPI
zjykzj/DataFlow-CV
🌊 Everything your model doesn't do. Analyse, convert, visualize, evaluate — a single CLI for all CV data.
MIT11 вер. 2026 р. · метрики 2.10.0
PyPI
pictograph-io/pictograph-sdk
Complete python SDK, CLI, and API reference for integrating with the Pictograph.io platform.
MIT21 жовт. 2026 р. · метрики 2.10.0
npm
roboflow/inference-sdk-js
Опис репозиторію не опубліковано.
Без ліцензії2 жовт. 2026 р. · метрики 2.10.0
PyPI
breezedeus/CnSTD
CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测（Scene Text Detection）、数学公式检测（Mathematical Formula Detection, MFD）、篇章分析（Layout Analysis）的Python3 包
Apache-2.012 вер. 2026 р. · метрики 2.10.0
PyPI · npm
cvat-ai/cvat
Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
MIT16 вер. 2026 р. · метрики 2.10.0