CINIC-10 is not ImageNet or CIFAR-10
2018-10-02Code Available0· sign in to hype
Luke N. Darlow, Elliot J. Crowley, Antreas Antoniou, Amos J. Storkey
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- github.com/BayesWatch/cinic-10OfficialIn paperpytorch★ 0
- github.com/2024-MindSpore-1/Code6/tree/main/AVA_cifarmindspore★ 0
Abstract
In this brief technical report we introduce the CINIC-10 dataset as a plug-in extended alternative for CIFAR-10. It was compiled by combining CIFAR-10 with images selected and downsampled from the ImageNet database. We present the approach to compiling the dataset, illustrate the example images for different classes, give pixel distributions for each part of the repository, and give some standard benchmarks for well known models. Details for download, usage, and compilation can be found in the associated github repository.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| CINIC-10 | DenseNet-121 | Accuracy | 91.26 | — | Unverified |
| CINIC-10 | ResNeXt29_2x64d | Accuracy | 91.45 | — | Unverified |
| CINIC-10 | ResNet-18 | Accuracy | 90.27 | — | Unverified |
| CINIC-10 | VGG-16 | Accuracy | 87.77 | — | Unverified |