Caltech 101
id:
caltech-101-268-9894716
title:
Caltech 101
text:
Caltech 101 is a data set of digital images created in September 2003 and compiled by Fei-Fei Li, Marco Andreetto, Marc 'Aurelio Ranzato and Pietro Perona at the California Institute of Technology. It is intended to facilitate computer vision research and techniques and is most applicable to techniques involving image recognition classification and categorization. Caltech 101 contains a total of 9,146 images, split between 101 distinct object categories and a background category. Provided with t
brand slug:
wiki
category slug:
encyclopedia
description:
Dataset of images
original url:
https://en.wikipedia.org/wiki/Caltech_101
date created:
date modified:
2024-04-14T09:58:05Z
main entity:
{"identifier":"Q2934404","url":"https://www.wikidata.org/entity/Q2934404"}
image:
fields total:
13
integrity:
14