harvardartmuseums/data-grinder
Processes an image through several computer vision services
This tool helps researchers, curators, or digital archivists automatically analyze images from the Harvard Digital Repository System. You input an image URL, and it provides a detailed breakdown including identified faces, text, colors, general tags, and descriptions generated by various AI models. It's designed for anyone needing rich, descriptive metadata for large image collections.
Use this if you need to quickly extract comprehensive metadata from images, such as visual features, textual content, and AI-generated descriptions, from a variety of computer vision and large language models.
Not ideal if you're working with images outside of the Harvard Digital Repository System or if you require a simple, single-purpose image analysis tool.
Stars
16
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/harvardartmuseums/data-grinder"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scikit-image/scikit-image
Image processing in Python
rerun-io/rerun
An open source SDK for logging, storing, querying, and visualizing multimodal and multi-rate data
rapidsai/cucim
cuCIM - RAPIDS GPU-accelerated image processing library
visioncortex/visioncortex
Core library for computer graphics & vision applications
imagej/ImageJ
Public domain software for processing and analyzing scientific images