# D4-Bootcamp, DNN Project — Data

来源：https://www.kaggle.com/competitions/d-4-bootcamp-dnn/data

采集时间：2026-10-19T10:51:56Z

In this competition, we provide the augmented version of CIFAR-10 images in train.zip and test.zip.  
We also provide train.csv which shows the mapping of the train images to their true label.  

## Files
*   **train** - Folder that contains the training set images
**test** - Folder that contains the testing set images
*   **train.csv** - contains the training  images id mapping to their ground truth 
*   **test.csv** - contains the testing images id 
*   **sample_submission.csv** - a sample submission file in the correct format

## Data source citation and copyright

The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.

Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009.

MIT License

Copyright (c) 2017 Baptiste Wicht

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.