datazoo 0.0.3

The deep learning datasets provider

Data zoo

This repository provides unified access to multiple datasets.

Usage

First of all, you have to import data_provider from datazoo package:

from datazoo import data_provider

Then, you can select dataset from the list and get iterable:

# Dataset object
fashionmnist = data_provider(
	dataset='fashionmnist',	data_dir='data/fashionmnist/', split='test',
	download=True, columns=['index', 'image', 'class']
)

print('Dataset length:', len(fashionmnist))

# Iterate over samples
for i in fashionmnist:
    print(i) 

Classification

Single-label datasets

Dataset	Name in data provider	Number of classes	Number of samples	Source	Auto downloading
MNIST	mnist	10	60 000 / 10 000	torchvision	Yes
Fashion MNIST	fashionmnist	10	60 000 / 10 000	torchvision	Yes
CIFAR-10	cifar10	10	50 000 / 10 000	torchvision	Yes
CIFAR-100	cifar100	100	50 000 / 10 000	torchvision	Yes
Indoor Scene Recognition	indoor_scene_recon	67	15620	--	Yes
The Street View House Numbers (SVHN)	svhn_cropped	10	73257 digits for training, 26032 digits for testing, and 531131 additional	--	Yes
Linnaeus5	linnaeus5	5 classes: berry, bird, dog, flower, other (negative set)	1200 training images, 400 test images per class	--	Yes
COIL-100	coil100	100 (100 objects)	7200 images	--	Yes

License

This software is covered by MIT License.