CINIC-10 is a dataset for image classification. It has a total of 270,000 images, 4.5 times that of CIFAR-10. It is constructed from two different sources: ImageNet and CIFAR-10. Specifically, it was compiled as a bridge between CIFAR-10 and ImageNet. It is split into three equal subsets - train, validation, and test - each of which contain 90,000 images.
Source: Group Knowledge Transfer:Collaborative Training of Large CNNs on the EdgeBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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CINIC-10
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VIT-L/16
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CINIC-10
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NAT-M4
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CINIC-10
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Resnet18
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Papers
| Paper | Code | Results | Date | Stars |
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