英特尔图像分类

英特尔图像分类

原文：

Intel Image Classification

Image Scene Classification of Multiclass

Context

This is image data of Natural Scenes around the world.

Content

This Data contains around 25k images of size 150x150 distributed under 6 categories.

{'buildings' -> 0,

'forest' -> 1,

'glacier' -> 2,

'mountain' -> 3,

'sea' -> 4,

'street' -> 5 }

The Train, Test and Prediction data is separated in each zip files. There are around 14k images in Train, 3k in Test and 7k in Prediction.

This data was initially published on ​​Intel to host a Image classification Challenge.

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译文：

英特尔图像分类

多类图像场景分类

概述：

这是世界各地自然场景的图像数据。

所容纳之物

此数据包含大小为150x150、分布在6个类别下的约25k幅图像。

{'buildings' -> 0,

'forest' -> 1,

'glacier' -> 2,

'mountain' -> 3,

'sea' -> 4,

'street' -> 5 }

列车、测试和预测数据在每个zip文件中分开。列车上大约有14k图像，测试中有3k图像，预测中有7k图像。

该数据最初发布于https://datahack.analyticsvidhya.com由英特尔主办的图像分类挑战赛。

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