Dataset Open Access

SlimageNet64

Anonymous

SlimageNet64 is new variant of ImageNet64×64 (Chrabaszcz et al., 2017), derived
from 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 × 64 × 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.

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Publication date:
February 7, 2020
DOI:
10.5281/zenodo.3672132

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10.5281/zenodo.3672132

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Keyword(s):
Few-Shot Learning, Continual Few-Shot Learning, Meta-Learning, Benchmark, Benchmarks, Dataset, Datasets
License (for files):
Other (Non-Commercial)

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Version 1 10.5281/zenodo.3672132 Feb 7, 2020
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