Datasets:
Tasks:
Image Classification
License:
add annotations
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README.md
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pretty_name: Snacks
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task_categories:
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- image-classification
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- computer-vision
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license: cc-by-4.0
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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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## 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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pretty_name: Snacks
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task_categories:
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- image-classification
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- object-detection
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- computer-vision
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license: cc-by-4.0
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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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### Annotations
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Included in the **annotations** 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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### 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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annotations/test.csv
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annotations/train.csv
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annotations/val.csv
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