{
  "citation": "@misc{imagenette,\n  author    = \"Jeremy Howard\",\n  title     = \"imagenette\",\n  url       = \"https://github.com/fastai/imagenette/\"\n}",
  "configDescription": "160px variant.",
  "configName": "160px-v2",
  "description": "Imagenette is a subset of 10 easily classified classes from the Imagenet\ndataset. It was originally prepared by Jeremy Howard of FastAI. The objective\nbehind putting together a small version of the Imagenet dataset was mainly\nbecause running new ideas/algorithms/experiments on the whole Imagenet take a\nlot of time.\n\nThis version of the dataset allows researchers/practitioners to quickly try out\nideas and share with others. The dataset comes in three variants:\n\n  * Full size\n  * 320 px\n  * 160 px\n\nNote: The v2 config correspond to the new 70/30 train/valid split (released\nin Dec 6 2019).",
  "downloadSize": "99003388",
  "location": {
    "urls": [
      "https://github.com/fastai/imagenette"
    ]
  },
  "moduleName": "tensorflow_datasets.image_classification.imagenette",
  "name": "imagenette",
  "splits": [
    {
      "name": "train",
      "numBytes": "75662887",
      "shardLengths": [
        "9469"
      ]
    },
    {
      "name": "validation",
      "numBytes": "31397260",
      "shardLengths": [
        "3925"
      ]
    }
  ],
  "supervisedKeys": {
    "input": "image",
    "output": "label"
  },
  "version": "1.0.0"
}