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.gitignore

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-.DS_Store
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Matthijs--snacks-detection/csv-test.parquet

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README.md

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----
-pretty_name: Snacks (Detection)
-task_categories:
-- object-detection
-- computer-vision
-license: cc-by-4.0
----
-
-# Dataset Card for Snacks (Detection)
-
-## Dataset Summary
-
-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).
-
-The images were taken from the [Google Open Images dataset](https://storage.googleapis.com/openimages/web/index.html), release 2017_11. 
-
-## Dataset Structure
-
-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. 
-
-The columns in the CSV files are: 
-
-- `image_id`: the filename of the image without the .jpg extension
-- `x_min, x_max, y_min, y_max`: normalized bounding box coordinates, i.e. in the range [0, 1]
-- `class_name`: the class that belongs to the bounding box
-- `folder`: the class that belongs to the image as a whole, which is also the name of the folder that contains the image
-
-The class names are:
-
-```nohighlight
-apple
-banana
-cake
-candy
-carrot
-cookie
-doughnut
-grape
-hot dog
-ice cream
-juice
-muffin
-orange
-pineapple
-popcorn
-pretzel
-salad
-strawberry
-waffle
-watermelon
-```
-
-**Note:** The image files are not part of this repo but [can be found here](https://huggingface.co/datasets/Matthijs/snacks).
-
-### Data Splits
-
-Train, Test, Validation
-
-## Licensing Information
-
-Just like the images from Google Open Images, the snacks dataset is licensed under the terms of the Creative Commons license. 
-
-The images are listed as having a [CC BY 2.0](https://creativecommons.org/licenses/by/2.0/) license. 
-
-The annotations are licensed by Google Inc. under a [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.