CIFAR-10
id:
cifar-10-320-5192073
title:
CIFAR-10
text:
The CIFAR-10 dataset is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes. The 10 different classes represent airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks. There are 6,000 images of each class. Computer algorithms for recognizing objects in photos often learn by
brand slug:
wiki
category slug:
encyclopedia
description:
Image dataset
original url:
https://en.wikipedia.org/wiki/CIFAR-10
date created:
date modified:
2024-04-14T05:30:35Z
main entity:
{"identifier":"Q45037095","url":"https://www.wikidata.org/entity/Q45037095"}
image:
fields total:
13
integrity:
14