Datasets:
image_id
stringlengths 16
16
| x_min
float64 0
0.99
| x_max
float64 0.02
1
| y_min
float64 0
0.95
| y_max
float64 0.02
1
| class_name
stringclasses 20
values | folder
stringclasses 20
values |
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009218ad38ab2010 | 0.814884 | 0.970607 | 0.121768 | 0.357798 | ice cream | cake |
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00e1d5cbbd4e874a | 0.052588 | 0.543406 | 0 | 0.477173 | cake | cake |
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00e1d5cbbd4e874a | 0.416528 | 0.686978 | 0.56723 | 0.934959 | cake | cake |
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01918ed451cb9a4f | 0.545966 | 0.746091 | 0.112594 | 0.259383 | orange | orange |
01918ed451cb9a4f | 0.141875 | 0.33625 | 0.310833 | 0.515833 | orange | orange |
01918ed451cb9a4f | 0.361875 | 0.55 | 0.081667 | 0.259167 | orange | orange |
01918ed451cb9a4f | 0.571607 | 0.762977 | 0.259383 | 0.473728 | orange | orange |
019708ceb11f8fbc | 0.175141 | 0.878531 | 0.327079 | 0.881801 | cake | cake |
019708ceb11f8fbc | 0.167608 | 0.97646 | 0.329581 | 0.913071 | cake | cake |
01af4cde85d3107c | 0.263902 | 0.879359 | 0.528455 | 0.72733 | cake | cake |
01af4cde85d3107c | 0.290292 | 0.931197 | 0.482176 | 0.708568 | cake | cake |
01e12dd1d8c294b4 | 0.096936 | 0.87117 | 0 | 0.998332 | cake | cake |
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01f7f5aa715d65b3 | 0.217217 | 0.472472 | 0.006676 | 0.40988 | ice cream | cake |
01f7f5aa715d65b3 | 0.527528 | 0.907908 | 0.518024 | 0.963952 | ice cream | cake |
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032b5f219dfb316e | 0.018003 | 0.410802 | 0.13748 | 0.571195 | muffin | muffin |
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034f51fba10d798c | 0.312695 | 0.611632 | 0.420657 | 0.761502 | cake | muffin |
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034f51fba10d798c | 0.326454 | 0.607255 | 0.46385 | 0.749296 | muffin | muffin |
034f51fba10d798c | 0.308318 | 0.609756 | 0.419718 | 0.764319 | muffin | muffin |
036ef04c1823fb7f | 0.043777 | 0.974359 | 0.020712 | 0.966343 | cake | waffle |
036ef04c1823fb7f | 0.384615 | 0.627892 | 0.508738 | 0.653722 | waffle | waffle |
03cc20bd2e33ecea | 0.09631 | 0.809256 | 0.134199 | 0.963203 | cake | cake |
03cc20bd2e33ecea | 0.020013 | 0.996873 | 0 | 0.998918 | cake | cake |
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137a98753adfde99 | 0.051282 | 0.364603 | 0.453711 | 0.626355 | strawberry | cake |
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15a153683d32c265 | 0.201068 | 0.911032 | 0.331652 | 0.852459 | cake | cake |
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18be3ddee3c31cc9 | 0.605634 | 0.985915 | 0.035994 | 0.533646 | cake | cake |
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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.
The images were taken from the Google Open Images dataset, 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 extensionx_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 boxfolder
: 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:
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.
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 license.
The annotations are licensed by Google Inc. under a CC BY 4.0 license.
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