alan-turing-institute/scivision
scivision: a framework for scientific image analysis
Scivision helps scientists and researchers apply computer vision models to their image-based data without needing to be machine learning experts. You provide your scientific images or datasets, and it allows you to easily find and use pre-trained models to analyze them, giving you insights like object identification or segmentation. This is for researchers in fields like biology, materials science, or cultural heritage who work with large collections of images.
106 stars.
Use this if you have scientific images and want to leverage existing computer vision models for analysis but lack deep programming or machine learning expertise.
Not ideal if you need to develop custom, highly specialized computer vision models from scratch or perform very niche image processing tasks not covered by existing models in the catalog.
Stars
106
Forks
39
Language
JavaScript
License
BSD-3-Clause
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/alan-turing-institute/scivision"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
ra1nty/DXcam
A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026
chuckcho/video-caffe
Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video...
jishnujayakumar/MV-Tractus
A simple tool to extract motion vectors from h264 encoded videos.
LionelJouin/PiP-Tool
PiP tool is a software to use the Picture in Picture mode on Windows. This feature allows you to...
cmusatyalab/OpenTPOD
Open Toolkit for Painless Object Detection