Datasets:
Matthijs Hollemans
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add annotations
Browse files- .gitignore +2 -0
- README.md +62 -0
- data/test.csv +0 -0
- data/train.csv +0 -0
- data/val.csv +0 -0
.gitignore
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.DS_Store
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README.md
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---
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license: cc-by-4.0
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---
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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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- computer-vision
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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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data/test.csv
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The diff for this file is too large to render.
See raw diff
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data/train.csv
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The diff for this file is too large to render.
See raw diff
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data/val.csv
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The diff for this file is too large to render.
See raw diff
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