Dataset Open Access
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<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Few-Shot Learning, Continual Few-Shot Learning, Meta-Learning, Benchmark, Benchmarks, Dataset, Datasets</subfield> </datafield> <controlfield tag="005">20200224101017.0</controlfield> <controlfield tag="001">3672132</controlfield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">14196</subfield> <subfield code="z">md5:54a45176ac56e3aea7f286d3e1d10538</subfield> <subfield code="u">https://zenodo.org/record/3672132/files/LICENSE.md</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">1654468852</subfield> <subfield code="z">md5:9a65cef93aa81029b5ce70094ed8978a</subfield> <subfield code="u">https://zenodo.org/record/3672132/files/SlimageNet64.tar.bz2</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2020-02-07</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="o">oai:zenodo.org:3672132</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Anonymous</subfield> <subfield code="a">Anonymous</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">SlimageNet64</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Other (Non-Commercial)</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>SlimageNet64 is new variant of ImageNet64&times;64&nbsp;(Chrabaszcz et al., 2017),&nbsp;derived<br> 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 &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></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.3672131</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3672132</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
All versions | This version | |
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Views | 698 | 697 |
Downloads | 582 | 582 |
Data volume | 916.6 GB | 916.6 GB |
Unique views | 634 | 633 |
Unique downloads | 178 | 178 |