PyPI
ultralytics/ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
AGPL-3.04 серп. 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.
14 записів
PyPI · npm
voxel51/fiftyone
Refine high-quality datasets and visual AI models
Apache-2.012 серп. 2026 р. · метрики 2.10.0
PyPI
albumentations-team/AlbumentationsX
Next-generation Albumentations: dual-licensed for open-source and commercial use
AGPL-3.02 серп. 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-2.05 серп. 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-3.018 лип. 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+.
MIT16 лип. 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-2.05 вер. 2026 р. · метрики 2.10.0
PyPI · npm
mauriciobenjamin700/ort-vision-sdk
Опис репозиторію не опубліковано.
MIT3 серп. 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.
MIT1 серп. 2026 р. · метрики 2.10.0
npm
beenotung/image-dataset
Tool to build image dataset: collect, classify, review
BSD-2-Clause17 лип. 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.
MIT5 серп. 2026 р. · метрики 2.10.0
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tensorflow/hub
A library for transfer learning by reusing parts of TensorFlow models.
Apache-2.021 лип. 2026 р. · метрики 2.10.0
PyPI
chenyaofo/image-classification-codebase
Image Classification Codebase with PyTorch
BSD-3-Clause17 лип. 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
MIT12 серп. 2026 р. · метрики 2.10.0