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--- |
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pretty_name: Snacks (Detection) |
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task_categories: |
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- object-detection |
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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 (Detection) |
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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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Included in the **data** folder are three CSV files with bounding box annotations for the images in the dataset, although not all images have annotations and some images have multiple annotations. |
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The columns in the CSV files are: |
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- `image_id`: the filename of the image without the .jpg extension |
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- `x_min, x_max, y_min, y_max`: normalized bounding box coordinates, i.e. in the range [0, 1] |
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- `class_name`: the class that belongs to the bounding box |
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- `folder`: the class that belongs to the image as a whole, which is also the name of the folder that contains the image |
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The class names are: |
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```nohighlight |
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apple |
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banana |
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cake |
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candy |
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carrot |
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cookie |
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doughnut |
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grape |
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hot dog |
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ice cream |
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juice |
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muffin |
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orange |
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pineapple |
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popcorn |
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pretzel |
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salad |
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strawberry |
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waffle |
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watermelon |
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``` |
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**Note:** The image files are not part of this repo but [can be found here](https://huggingface.co/datasets/Matthijs/snacks). |
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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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