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.
Files
(1.7 GB)
| Name | Size | |
|---|---|---|
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LICENSE.md
md5:54a45176ac56e3aea7f286d3e1d10538 |
14.2 kB | Download |
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SlimageNet64.tar.bz2
md5:9a65cef93aa81029b5ce70094ed8978a |
1.7 GB | Download |
454
378
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 454 | 453 |
| Downloads | 378 | 378 |
| Data volume | 592.3 GB | 592.3 GB |
| Unique views | 415 | 414 |
| Unique downloads | 125 | 125 |
Indexed in
- Publication date:
- February 7, 2020
- DOI:
-
- Keyword(s):
- Few-Shot Learning, Continual Few-Shot Learning, Meta-Learning, Benchmark, Benchmarks, Dataset, Datasets
- License (for files):
- Other (Non-Commercial)