February 7, 2020 Dataset Open Access

Anonymous

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{
  "description": "<p>SlimageNet64 is new variant of ImageNet64&times;64&nbsp;(Chrabaszcz et al., 2017),&nbsp;derived<br>\nfrom Slim and ImageNet. SlimageNet64 is ideal for few-shot learning, continual learning and meta-learning research. It consists of 200 instances from each of the 1000 object categories of the ILSVRC-2012 dataset (Krizhevsky et al., 2012; Russakovsky et al., 2015), for a total of 200K RGB images with a resolution of 64 &times; 64 &times; 3 pixels. We created this dataset from the downscaled version of ILSVRC-2012, ImageNet64x64, as reported in (Chrabaszcz et al., 2017), using the box downsampling Pillow library.</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "Anonymous", 
      "@type": "Person", 
      "name": "Anonymous"
    }
  ], 
  "url": "https://zenodo.org/record/3672132", 
  "datePublished": "2020-02-07", 
  "keywords": [
    "Few-Shot Learning, Continual Few-Shot Learning, Meta-Learning, Benchmark, Benchmarks, Dataset, Datasets"
  ], 
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  "identifier": "https://doi.org/10.5281/zenodo.3672132", 
  "@id": "https://doi.org/10.5281/zenodo.3672132", 
  "@type": "Dataset", 
  "name": "SlimageNet64"
}