MATLAB中深度学习的数据集合_适用于matlab深度网络工具箱的数据集

简 介： 本文总结了部分MATLAB中用于深度学习的数据集合。

关键词： MATLAB，DEEPLENARING

 

§01 MATLAB数据

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  在 Data Sets for Deep Learning 给出了MATLAB中用于深度学习的数据集合介绍以及下载方法。

1.1 合成数字图片

  这是一个10000个灰度合成数字姿态的数字集合。类似于MNIST，但它是合成的。

  问题来了，这些数字是如何被合成的？在哪儿可以下载到原始的数据集合呢？

数据库参数：

数量：10000
尺寸：28×28
色彩：灰度图片

▲ 图1.1.1 MATLAB Digits Dataset

1.2 MNSIT手写数字图片

  该集合包括有70,000个图片，分为60,000训练集合以及10,000个测试集合。

图片库参数：

数量：70,000
色彩：灰度图片
尺寸：28×28

• 下载链接： MNIST官网下载地址 : http://yann.lecun.com/exdb/mnist/

▲ 图1.2.1 MNIST代表数字

1.3 字母表

  Omniglot数据集合包含有50个字母表，保安有30个训练集合，20个测试集合。 每个字符包含有一定数量EZif是， Ojibwe编号：14（这是加拿大欧土著音节字符）， Tifinagh：编号55。每个字符有20个手写字体。

• 下载链接： Omniglot : https://github.com/brendenlake/omniglot
  ▲ 图1.3.1 Omniglot字符数据集合

1.4 FLower数据集合

  这是一个3670个花朵图片数据集合，分为五大类：Daisy（黛西）， Dandelion（蒲公英）， Roses（玫瑰花）， Sunflowers（向日葵）， Tulips（郁金香）。

数据库参数：

数量：3670
色彩：彩色
种类：5类
文件大小：218MB

• **数据集合下载： ** Flowers : http://download.tensorflow.org/example_images/flower_photos.tgz
  ▲ 图1.4.1 Flowers数据集合

1.5 食物图片

图片库参数：

数量：978
色彩：彩色
种类：9类：Caesar_Salad, Caprese_salard, French_fires, Greek_salard, Hamburger, Hot_dog, Pizza, Sashimi, Suhi.
数据文件：77MB

▲ 图1.5.1 食物图片

• 数据库下：

1.6 Cifar-10

数据库参数：

数量：60,000
色彩：彩色
尺寸：32×32
种类：10个类别:Airplane,Automobile,Bird,Car,Deer,Dog,Frog,Horse,Ship,Truck
每个类别：6000

▲ 图1.6.1 Cifar10图片

• 下载链接 : https://www.cs.toronto.edu/~kriz/cifar-10-matlab.tar.gz

1.7 零售商品图片集合

  这个数据集合包括有5类Mathworks公司相关的零售商品。

数据集合参数：

数量：不详
种类：5类:Cap, Cube, Playing Cards, Torch
尺寸：227×227
色彩：彩色

▲ 图1.7.1 Mathworks 零售商品图片集

1.8 街景数据

  CamVid 数据集合是一组街景图品集合，从小轿车内部拍摄。用于训练网络对图片进行语义分割。改数据集合提供了32类像素级别语义标注。包括：轿车，行人，道路等。

数据参数：

数量：不详
尺寸：720×960
色彩：彩色
文件大小：573MB

▲ 图1.8.1 CamVid 街景图片数据集合

• 下载链接： CamVid数据集合 : http://web4.cs.ucl.ac.uk/staff/g.brostow/MotionSegRecData/

1.9 车辆Vechicle

  Vehicle数据集合包括有295个图片，其中包含有1到2个车龄。适合于YOLO-v2的图像定位训练，但如果要达到实际应用，还需要更多的标注图片。

数据集合参数：

数量：295
色彩：彩色
尺寸：720×960

1.10 RIT-18纽约地区无人机图片

  这个数据集合包括有四旋翼无人机在纽约 Hamlin Beach 州立公园拍摄的图片。包括有18种物品标注：道路标志，树木，建筑物。

数据库参数：

文件大小：3GB
色彩：彩色
种类：18种类
▲ 图1.10.1 RIT-18数据集合

1.11 BraTS脑肿瘤核磁共振图片

  BarTS数据集合包含有脑肿瘤（神经胶质瘤 Glioms）这是主要脑部病变。

数据库参数：

数量：740
维度：4D
尺寸：240×240×155×4
文件大小：7GB

▲ 图1.11.1 脑部肿瘤数据库

 

§02 数据库名称与数量

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2.1 Camelyon16

▲ 图2.1.1 Camelyon16

2.2 Challenge

▲ 图2.2.1 Low Dose CTGrand Challenge

2.3 数据集合

▲ 图2.3.1 COCO：Common Objects in Context

2.4 TC-12

▲ 图2.4.1 IAPRTC-12

2.5 RGB

▲ 图2.5.1 Zuirch RAW to RGB

2.6 See-in-The-Dark

▲ 图2.6.1 See-In-The-Dark

2.7 Wild

▲ 图2.7.1 LIVE in the Wild

2.8 Classification

▲ 图2.8.1 Conrete Crake Image for Classifiction

 

※ 总  结 ※

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  本文总结了部分MATLAB中用于深度学习的数据集合。

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■ 相关文献链接:

• Data Sets for Deep Learning
• MNIST官网下载地址
• Omniglot
• Flowers
• 下载链接
• CamVid数据集合

● 相关图表链接:

• 图1.1.1 MATLAB Digits Dataset
• 图1.2.1 MNIST代表数字
• 图1.3.1 Omniglot字符数据集合
• 图1.4.1 Flowers数据集合
• 图1.5.1 食物图片
• 图1.6.1 Cifar10图片
• 图1.7.1 Mathworks 零售商品图片集
• 图1.8.1 CamVid 街景图片数据集合
• 图1.10.1 RIT-18数据集合
• 图1.11.1 脑部肿瘤数据库
• 图2.1.1 Camelyon16
• 图2.2.1 Low Dose CTGrand Challenge
• 图2.3.1 COCO：Common Objects in Context
• 图2.4.1 IAPRTC-12
• 图2.5.1 Zuirch RAW to RGB
• 图2.6.1 See-In-The-Dark
• 图2.7.1 LIVE in the Wild
• 图2.8.1 Conrete Crake Image for Classifiction

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