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        "description": "# Data zoo\n\nThis repository provides unified access to multiple datasets.\n\n## Usage\n\nFirst of all, you have to import data_provider from datazoo package:\n\n```\nfrom datazoo import data_provider\n```\n\nThen, you can select dataset from the list and get iterable:\n\n```\n# Dataset object\nfashionmnist = data_provider(\n\tdataset='fashionmnist',\tdata_dir='data/fashionmnist/', split='test',\n\tdownload=True, columns=['index', 'image', 'class']\n)\n\nprint('Dataset length:', len(fashionmnist))\n\n# Iterate over samples\nfor i in fashionmnist:\n    print(i) \n```\n\n## Classification\n\n### Single-label datasets\n\n| Dataset | Name in data provider | Number of classes | Number of samples | Source | Auto downloading |\n| --- | ---: | ---: | ---: | ---: | ---: |\n| MNIST | `mnist` | 10 | 60 000 / 10 000 | torchvision | Yes |\n| Fashion MNIST | `fashionmnist`| 10 | 60 000 / 10 000 | torchvision | Yes |\n| CIFAR-10 | `cifar10` | 10 | 50 000 / 10 000 | torchvision | Yes |\n| CIFAR-100 | `cifar100` | 100 | 50 000 / 10 000 | torchvision | Yes |\n| [Indoor Scene Recognition](http://web.mit.edu/torralba/www/indoor.html) | `indoor_scene_recon` | 67 | 15620 | -- | Yes |\n| [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 |\n| [Linnaeus5](http://chaladze.com/l5/) | `linnaeus5` | 5 classes: berry, bird, dog, flower, other (negative set) | 1200 training images, 400 test images per class | -- | Yes |\n| [COIL-100](http://www1.cs.columbia.edu/CAVE/software/softlib/coil-100.php) | `coil100` | 100 (100 objects) | 7200 images | -- | Yes |\n\n<!-- ### Multiple labels datasets -->\n<!-- \n## Segmentation\n\n| Dataset | Number of classes | Number of samples | Description | Source |\n| --- | ---: | ---: | ---: | ---: |\n| ADE20k | 10 | 60 000 / 10 000 | General-purpose scene parsing | torchvision | -->\n\n## License\nThis software is covered by MIT License.",
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