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
#image-classification
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.
18 записів
PyPI · npm
voxel51/fiftyone
Refine high-quality datasets and visual AI models
Apache-2.017 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
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Apache-2.016 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
GiacomoSaccaggi/scomp_link
End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.
MIT9 вер. 2026 р. · метрики 2.10.0
PyPI · npm
Pikselkroken/pixlstash
PixlStash helps you find things in an image library that's gotten out of hand. It imports and tags your images automatically, then lets you search by content or face, sort the keepers from the rubbish, and serve data to other tools (like ComfyUI) with a REST API. Use the desktop version or run it headless as a server.
GPL-3.010 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
NuGet
emgucv/emgucv
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
Власна ліцензія24 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
PyPI · npm
mauriciobenjamin700/ort-vision-sdk
Опис репозиторію не опубліковано.
MIT16 вер. 2026 р. · метрики 2.10.0
Go
sgaunet/moraine
Single-binary pure-Go photo organizer: groups photos into events by capture time, classifies each by theme via Ollama vision, and copies them into a dated folder tree. Originals untouched.
MIT15 вер. 2026 р. · метрики 2.10.0
npm
beenotung/image-dataset
Tool to build image dataset: collect, classify, review
BSD-2-Clause10 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
—
tensorflow/hub
A library for transfer learning by reusing parts of TensorFlow models.
Apache-2.012 вер. 2026 р. · метрики 2.10.0
PyPI
aryaminus/memento
Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory
MIT19 вер. 2026 р. · метрики 2.10.0
PyPI
chenyaofo/image-classification-codebase
Image Classification Codebase with PyTorch
BSD-3-Clause10 вер. 2026 р. · метрики 2.10.0
PyPI
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
MIT17 вер. 2026 р. · метрики 2.10.0