arXiv (Cornell University) · 2018 · 168 citations · 0 references
ComputingComputer ScienceComputer VisionFeature EngineeringMachine VisionDeep LearningDigital Image ProcessingImage Data ManagementImage PreprocessingImage ProcessingObject RecognitionDataset CurationImage Dataset ManagementImage Performance MetricsImage Processing UnitsLarge-scale Computer VisionPixel Density
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.