{
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    "name": "tiniest-imagenet-200",
    "exact_name": "tiniest-imagenet-200",
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    "description": "Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64 x 64 colored images. !!! This dataset only links to 20 images per class (instead of the usual 500) and is ONLY for quickly testing a framework. !!! Each class has 500 training images, 50 validation images, and 50 test images. The dataset here just contains links to the images and the labels. The dataset can be downloaded from the official website ![here](http:\/\/cs231n.stanford.edu\/tiny-imagenet-200.zip). \/n Link to the paper - [Tiny ImageNet Classification with CNN](https:\/\/cs231n.stanford.edu\/reports\/2017\/pdfs\/930.pdf)",
    "format": "arff",
    "uploader": "Subhaditya Mukherjee",
    "uploader_id": 42266,
    "visibility": "public",
    "creator": "\"Jiayu Wu, Qixiang Zhang, Guoxi Xu\"",
    "contributor": "\"Jiayu Wu, Qixiang Zhang, Guoxi Xu\"",
    "date": "2024-10-09 15:51:03",
    "update_comment": null,
    "last_update": "2024-10-09 15:51:03",
    "licence": "DbCL v1.0",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22120926\/dataset",
    "default_target_attribute": "label",
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    "runs": 0,
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            "tiniest-imagenet-200",
            "Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64 x 64 colored images. !!! This dataset only links to 20 images per class (instead of the usual 500) and is ONLY for quickly testing a framework. !!! Each class has 500 training images, 50 validation images, and 50 test images. The dataset here just contains links to the images and the labels. The dataset can be downloaded from the official website ![here](http:\/\/cs231n.stanford.edu\/tiny-imagenet-200.zip). \/n  "
        ],
        "weight": 5
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    "qualities": {
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        "NumberOfFeatures": 2,
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        "NumberOfInstancesWithMissingValues": 0,
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