org.openimaj.image.annotation.evaluation.datasets

Class CIFAR10Dataset

java.lang.Object

org.openimaj.image.annotation.evaluation.datasets.CIFARDataset

org.openimaj.image.annotation.evaluation.datasets.CIFAR10Dataset

@Reference(type=Article,
           author={"Krizhevsky, A.","Hinton, G."},
           title="Learning multiple layers of features from tiny images",
           year="2009",
           journal="Master\'s thesis, Department of Computer Science, University of Toronto",
           publisher="Citeseer")
 @DatasetDescription(name="CIFAR-10",
                    description="The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.",
                    creator="Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton",
                    url="http://www.cs.toronto.edu/~kriz/cifar.html",
                    downloadUrls="http://datasets.openimaj.org/cifar/cifar-10-binary.tar.gz")
public class CIFAR10Dataset
extends CIFARDataset

CIFAR-10 Dataset. Contains 60000 tiny images in 10 classes (6000 per class). Each image is 32x32 pixels.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Field Summary

Fields inherited from class org.openimaj.image.annotation.evaluation.datasets.CIFARDataset

FIMAGE_READER, HEIGHT, MBFIMAGE_READER, WIDTH

Method Summary

Modifier and Type	Method and Description
static <IMAGE> GroupedDataset<String,ListDataset<IMAGE>,IMAGE>	getTestImages(BinaryReader<IMAGE> reader) Load the test images using the given reader.
static <IMAGE> GroupedDataset<String,ListDataset<IMAGE>,IMAGE>	getTrainingImages(BinaryReader<IMAGE> reader) Load the training images using the given reader.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

getTrainingImages

public static <IMAGE> GroupedDataset<String,ListDataset<IMAGE>,IMAGE> getTrainingImages(BinaryReader<IMAGE> reader)
                                                                                 throws IOException

Load the training images using the given reader. To load the images as MBFImages, you would do the following: CIFAR10Dataset.getTrainingImages(CIFAR10Dataset.MBFIMAGE_READER);

Parameters:

reader - the reader

Returns:

the training image dataset

Throws:

IOException

getTestImages

public static <IMAGE> GroupedDataset<String,ListDataset<IMAGE>,IMAGE> getTestImages(BinaryReader<IMAGE> reader)
                                                                             throws IOException

Load the test images using the given reader. To load the images as MBFImages, you would do the following: CIFAR10Dataset.getTestImages(CIFAR10Dataset.MBFIMAGE_READER);

Parameters:

reader - the reader

Returns:

the test image dataset

Throws:

IOException