{
  "citation": "@inproceedings{peng2019moment,\n  title={Moment matching for multi-source domain adaptation},\n  author={Peng, Xingchao and Bai, Qinxun and Xia, Xide and Huang, Zijun and Saenko, Kate and Wang, Bo},\n  booktitle={Proceedings of the IEEE International Conference on Computer Vision},\n  pages={1406--1415},\n  year={2019}\n}",
  "configName": "clipart",
  "description": "The DomainNet dataset consists of images from six distinct domains, including\nphotos (real), painting, clipart, quickdraw, infograph and sketch. Per domain\nthere are 48K - 172K images (600K in total) categorized into 345 classes.\n\nIn this TFDS version of DomainNet the cleaned version is used.",
  "downloadSize": "1272981817",
  "fileFormat": "tfrecord",
  "location": {
    "urls": [
      "http://ai.bu.edu/DomainNet/"
    ]
  },
  "moduleName": "tensorflow_datasets.image_classification.domainnet.domainnet",
  "name": "domainnet",
  "splits": [
    {
      "name": "train",
      "numBytes": "953800603",
      "shardLengths": [
        "4191",
        "4190",
        "4191",
        "4190",
        "4191",
        "4191",
        "4190",
        "4191"
      ]
    },
    {
      "name": "test",
      "numBytes": "411982971",
      "shardLengths": [
        "3651",
        "3651",
        "3651",
        "3651"
      ]
    }
  ],
  "supervisedKeys": {
    "tuple": {
      "items": [
        {
          "featureKey": "image"
        },
        {
          "featureKey": "label"
        }
      ]
    }
  },
  "version": "1.0.0"
}