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--- |
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pretty_name: Snacks |
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task_categories: |
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- image-classification |
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license: cc-by-4.0 |
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--- |
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# Dataset Card for Snacks |
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## Dataset Summary |
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This is a dataset of 20 different types of snack foods that accompanies the book [Machine Learning by Tutorials](https://www.raywenderlich.com/books/machine-learning-by-tutorials/v2.0). |
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The images were taken from the [Google Open Images dataset](https://storage.googleapis.com/openimages/web/index.html), release 2017_11. |
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## Dataset Structure |
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Number of images in the train/validation/test splits: |
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```nohighlight |
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train 4838 |
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val 955 |
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test 952 |
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total 6745 |
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``` |
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Total images in each category: |
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```nohighlight |
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apple 350 |
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banana 350 |
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cake 349 |
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candy 349 |
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carrot 349 |
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cookie 349 |
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doughnut 350 |
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grape 350 |
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hot dog 350 |
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ice cream 350 |
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juice 350 |
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muffin 348 |
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orange 349 |
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pineapple 340 |
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popcorn 260 |
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pretzel 204 |
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salad 350 |
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strawberry 348 |
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waffle 350 |
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watermelon 350 |
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``` |
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To save space in the download, the images were resized so that their smallest side is 256 pixels. All EXIF information was removed. |
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### Data Splits |
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Train, Test, Validation |
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## Licensing Information |
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Just like the images from Google Open Images, the snacks dataset is licensed under the terms of the Creative Commons license. |
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The images are listed as having a [CC BY 2.0](https://creativecommons.org/licenses/by/2.0/) license. |
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The annotations are licensed by Google Inc. under a [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. |
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The **credits.csv** file contains the original URL, author information and license for each image. |
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