MiniImageNet Dataset Info

dataset_info.json

{
  "citation": "@inproceedings{vinyals2016matching,\n  title={Matching networks for one shot learning},\n  author={Vinyals, Oriol and Blundell, Charles and Lillicrap, Timothy and Wierstra, Daan and others},\n  booktitle={Advances in neural information processing systems},\n  pages={3630--3638},\n  year={2016}\n}\n",
  "description": "miniImageNet (Vinyals et al., 2016) is a modified version of the ILSVRC-12\ndataset (Russakovsky et al., 2015), in which 600 images for each of 100 classes\nwere randomly chosen to be part of the dataset. We rely on the class split used\nby Ravi & Larochelle (2017). These splits use 64 classes for training, 16 for\nvalidation, and 20 for test. All images are of size 84 \u00d7 84 pixels.\n",
  "downloadChecksums": {
    "https://drive.google.com/uc?export=download&id=16V_ZlkW4SsnNDtnGmaBRq2OoPmUOc5mY": "30052347dd33f3ea3ee4a4ad65d72152bf657aac41891299dfa614a3235947ed"
  },
  "location": {
    "urls": [
      "https://github.com/renmengye/few-shot-ssl-public#miniimagenet"
    ]
  },
  "name": "mini_imagenet",
  "schema": {
    "feature": [
      {
        "name": "image",
        "shape": {
          "dim": [
            {
              "size": "-1"
            },
            {
              "size": "-1"
            },
            {
              "size": "3"
            }
          ]
        },
        "type": "INT"
      },
      {
        "name": "label",
        "type": "INT"
      }
    ]
  },
  "sizeInBytes": "1083044483",
  "splits": [
    {
      "name": "test",
      "numShards": "1",
      "statistics": {
        "features": [
          {
            "name": "image",
            "numStats": {
              "commonStats": {
                "numNonMissing": "12000"
              },
              "max": 255.0
            }
          },
          {
            "name": "label",
            "numStats": {
              "commonStats": {
                "numNonMissing": "12000"
              },
              "max": 99.0,
              "min": 80.0
            }
          }
        ],
        "numExamples": "12000"
      }
    },
    {
      "name": "train",
      "numShards": "1",
      "statistics": {
        "features": [
          {
            "name": "image",
            "numStats": {
              "commonStats": {
                "numNonMissing": "38400"
              },
              "max": 255.0
            }
          },
          {
            "name": "label",
            "numStats": {
              "commonStats": {
                "numNonMissing": "38400"
              },
              "max": 63.0
            }
          }
        ],
        "numExamples": "38400"
      }
    },
    {
      "name": "validation",
      "numShards": "1",
      "statistics": {
        "features": [
          {
            "name": "image",
            "numStats": {
              "commonStats": {
                "numNonMissing": "9600"
              },
              "max": 255.0
            }
          },
          {
            "name": "label",
            "numStats": {
              "commonStats": {
                "numNonMissing": "9600"
              },
              "max": 79.0,
              "min": 64.0
            }
          }
        ],
        "numExamples": "9600"
      }
    }
  ],
  "supervisedKeys": {
    "input": "image",
    "output": "label"
  },
  "version": "1.0.2"
}