Vision

Vision skills and workflows surfaced by the site skill importer.

5 skills
K
histolab

by K-Dense-AI

histolab is a Python skill for whole-slide image preprocessing in digital pathology. It supports tissue detection, tile extraction, and stain normalization for H&E slides, making it useful for dataset prep, quick tile-based analysis, and lightweight data analysis workflows. Install and use histolab with practical guidance on masks, tilers, and slide management.

Data Analysis
Favorites 0GitHub 21.3k
H
huggingface-vision-trainer

by huggingface

huggingface-vision-trainer helps you install and use a Hugging Face skill for vision training jobs: object detection, image classification, and SAM/SAM2 segmentation. It covers dataset prep, cloud GPU setup, evaluation, Trackio logging, and pushing results to the Hub. Ideal for backend automation and repeatable training workflows.

Backend Development
Favorites 0GitHub 10.4k
M
azure-ai-vision-imageanalysis-py

by microsoft

The azure-ai-vision-imageanalysis-py skill helps you install and use the Azure AI Vision Image Analysis SDK for Python. It covers captions, tags, objects, OCR, people detection, and smart cropping, with backend-focused setup, authentication, and environment guidance for Azure-based image understanding workflows.

Backend Development
Favorites 0GitHub 2.3k
M
azure-ai-vision-imageanalysis-java

by microsoft

azure-ai-vision-imageanalysis-java helps you build Java image analysis apps with Azure AI Vision. Use it for captioning, OCR, object detection, tagging, people detection, smart cropping, and API Development with SDK setup, auth, and examples.

API Development
Favorites 0GitHub 2.2k
K
transformers

by K-Dense-AI

The transformers skill helps you use Hugging Face Transformers for model loading, inference, tokenization, and fine-tuning. It is a practical transformers guide for Machine Learning tasks across text, vision, audio, and multimodal workflows, with clear paths for quick baselines and custom training.

Machine Learning
Favorites 0GitHub 0
Vision