{
    "data_id": "46346",
    "name": "tiny-imagenet-200",
    "exact_name": "tiny-imagenet-200",
    "version": 4,
    "version_label": null,
    "description": "Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64 x 64 colored images. 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)\"     paper_url = \"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 15:45:24",
    "update_comment": null,
    "last_update": "2024-10-09 15:45:24",
    "licence": "Publicly available",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22120925\/dataset",
    "kaggle_url": null,
    "default_target_attribute": "label",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "tiny-imagenet-200",
            "Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64 x 64 colored images. 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)\" paper_url = "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 100000,
        "NumberOfFeatures": 3,
        "NumberOfClasses": 200,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 1,
        "NumberOfSymbolicFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfMissingValues": 0,
        "AutoCorrelation": 1,
        "PercentageOfNumericFeatures": 33.33333333333333,
        "Dimensionality": 3.0e-5,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassPercentage": 0.5,
        "MajorityClassSize": 500,
        "MinorityClassPercentage": 0.5,
        "MinorityClassSize": 500,
        "NumberOfBinaryFeatures": 0
    },
    "tags": [],
    "features": [
        {
            "name": "label",
            "index": "2",
            "type": "string",
            "distinct": "200",
            "missing": "0",
            "target": "1"
        },
        {
            "name": "Unnamed: 0",
            "index": "0",
            "type": "numeric",
            "distinct": "100000",
            "missing": "0",
            "min": "0",
            "max": "99999",
            "mean": "50000",
            "stdev": "28868"
        },
        {
            "name": "image_path",
            "index": "1",
            "type": "string",
            "distinct": "100000",
            "missing": "0"
        }
    ],
    "nr_of_issues": 0,
    "nr_of_downvotes": 0,
    "nr_of_likes": 0,
    "nr_of_downloads": 0,
    "total_downloads": 0,
    "reach": 0,
    "reuse": 0,
    "impact_of_reuse": 0,
    "reach_of_reuse": 0,
    "impact": 0
}