Metadata-Version: 2.1
Name: datazoo
Version: 0.0.3
Summary: The deep learning datasets provider
Home-page: https://github.com/nerox8664/datazoo
Author: Grigory Malivenko
Author-email: nerox8664@gmail.com
License: MIT
Description: # 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](http://web.mit.edu/torralba/www/indoor.html) | `indoor_scene_recon` | 67 | 15620 | -- | Yes |
        | [The Street View House Numbers (SVHN)](http://ufldl.stanford.edu/housenumbers/) | `svhn_cropped` | 10 | 73257 digits for training, 26032 digits for testing, and 531131 additional | -- | Yes |
        | [Linnaeus5](http://chaladze.com/l5/) | `linnaeus5` | 5 classes: berry, bird, dog, flower, other (negative set) | 1200 training images, 400 test images per class | -- | Yes |
        | [COIL-100](http://www1.cs.columbia.edu/CAVE/software/softlib/coil-100.php) | `coil100` | 100 (100 objects) | 7200 images | -- | Yes |
        
        <!-- ### Multiple labels datasets -->
        <!-- 
        ## Segmentation
        
        | Dataset | Number of classes | Number of samples | Description | Source |
        | --- | ---: | ---: | ---: | ---: |
        | ADE20k | 10 | 60 000 / 10 000 | General-purpose scene parsing | torchvision | -->
        
        ## License
        This software is covered by MIT License.
Platform: UNKNOWN
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