openfoodfacts/nutrition-table-yolo
Object Detection
•
Updated
image_id
stringlengths 8
16
| image
imagewidth (px) 223
5.31k
| width
int64 223
5.31k
| height
int64 211
5.31k
| meta
dict | objects
dict |
|---|---|---|---|---|---|
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20126612_1 | 2,448 | 3,264 | {
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0035826087850_1 | 2,988 | 5,312 | {
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20717452_1 | 2,448 | 3,264 | {
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27563564_2 | 1,944 | 2,592 | {
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0070272090993_1 | 2,000 | 1,767 | {
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50300839_1 | 1,944 | 2,592 | {
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3571492670004_1 | 1,170 | 1,142 | {
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27451748_1 | 1,944 | 2,592 | {
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22000224_2 | 2,000 | 1,125 | {
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20017552_2 | 2,448 | 3,264 | {
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26192734_4 | 1,063 | 1,008 | {
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27423271_4 | 2,000 | 2,697 | {
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20211684_2 | 2,448 | 3,264 | {
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0051500017043_1 | 3,264 | 2,448 | {
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20674519_2 | 2,448 | 3,264 | {
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"barcode": "26201142",
"off_image_id": "2",
"image_url": "https://static.openfoodfacts.org/images/products/26201142/2.jpg"
} | {
"bbox": [
[
0.12477195262908936,
0.16091375052928925,
0.8693923950195312,
0.5001025795936584
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
3033610062509_2 | 2,448 | 3,264 | {
"barcode": "3033610062509",
"off_image_id": "2",
"image_url": "https://static.openfoodfacts.org/images/products/303/361/006/2509/2.jpg"
} | {
"bbox": [
[
0,
0.03431372717022896,
0.28492647409439087,
0.9975489974021912
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
51180010_2 | 1,944 | 2,592 | {
"barcode": "51180010",
"off_image_id": "2",
"image_url": "https://static.openfoodfacts.org/images/products/51180010/2.jpg"
} | {
"bbox": [
[
0.43557098507881165,
0.471707820892334,
0.5898919701576233,
0.7181069850921631
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
0072869241108_3 | 2,000 | 2,666 | {
"barcode": "0072869241108",
"off_image_id": "3",
"image_url": "https://static.openfoodfacts.org/images/products/007/286/924/1108/3.jpg"
} | {
"bbox": [
[
0.1562289148569107,
0.2519609332084656,
0.8712999224662781,
0.7912880778312683
]
],
"category_id": [
3
],
"category_name": [
"nutrition-table-text"
]
} |
|
0070177248499_1 | 1,625 | 4,058 | {
"barcode": "0070177248499",
"off_image_id": "1",
"image_url": "https://static.openfoodfacts.org/images/products/007/017/724/8499/1.jpg"
} | {
"bbox": [
[
0.5162641406059265,
0.06892307847738266,
0.8637259602546692,
0.9021538496017456
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
20546298_2 | 2,448 | 3,264 | {
"barcode": "20546298",
"off_image_id": "2",
"image_url": "https://static.openfoodfacts.org/images/products/20546298/2.jpg"
} | {
"bbox": [
[
0.3388480246067047,
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0.6988133788108826
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
0011110815330_3 | 1,200 | 1,600 | {
"barcode": "0011110815330",
"off_image_id": "3",
"image_url": "https://static.openfoodfacts.org/images/products/001/111/081/5330/3.jpg"
} | {
"bbox": [
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0.06187500059604645,
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0.8125,
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]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
0042563007799_3 | 2,448 | 3,264 | {
"barcode": "0042563007799",
"off_image_id": "3",
"image_url": "https://static.openfoodfacts.org/images/products/004/256/300/7799/3.jpg"
} | {
"bbox": [
[
0.35171568393707275,
0.06331699341535568,
0.8578431606292725,
0.2847222089767456
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
0071962184022_2 | 2,000 | 1,500 | {
"barcode": "0071962184022",
"off_image_id": "2",
"image_url": "https://static.openfoodfacts.org/images/products/007/196/218/4022/2.jpg"
} | {
"bbox": [
[
0.1598007082939148,
0.2566992938518524,
0.6484102606773376,
0.8019627332687378
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
0062020000248_3 | 1,125 | 2,000 | {
"barcode": "0062020000248",
"off_image_id": "3",
"image_url": "https://static.openfoodfacts.org/images/products/006/202/000/0248/3.jpg"
} | {
"bbox": [
[
0.06549999862909317,
0.06044444441795349,
0.5199999809265137,
0.9493333101272583
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
9310645100975_3 | 1,125 | 2,000 | {
"barcode": "9310645100975",
"off_image_id": "3",
"image_url": "https://static.openfoodfacts.org/images/products/931/064/510/0975/3.jpg"
} | {
"bbox": [
[
0.34049999713897705,
0.07999999821186066,
0.7620000243186951,
0.8604444265365601
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
|
9312231222023_5 | 1,936 | 2,592 | {
"barcode": "9312231222023",
"off_image_id": "5",
"image_url": "https://static.openfoodfacts.org/images/products/931/223/122/2023/5.jpg"
} | {
"bbox": [
[
0.2490180879831314,
0.35902735590934753,
0.7648924589157104,
0.8980133533477783
]
],
"category_id": [
0
],
"category_name": [
"nutrition-table"
]
} |
End of preview. Expand
in Dataset Viewer.
Open Food Facts Nutrition table detection dataset
This dataset was used to train the nutrition table object detection model running in production at Open Food Facts.
Images were collected from the Open Food Facts database and labeled manually. Just like the original images, the images in this dataset are licensed under the Creative Commons Attribution Share Alike license (CC-BY-SA 3.0).
Fields
image_id: Unique identifier for the image, generated from the barcode and the image number.image: Image data.width: Image original width in pixels.height: Image original height in pixels.meta: Additional metadata.barcode: Product barcode.off_image_id: Open Food Facts image number.image_url: URL to the image on the Open Food Facts website.
objects: Object detection annotations.bbox: List of bounding boxes in the format (y_min, x_min, y_max, x_max). Coordinates are normalized between 0 and 1, using the top-left corner as the origin.category_id: List of category IDs.category_name: List of category names.
Versions
1.0: Original data used to train the tf-nutrition-table-1.0 model.1.1: Fixes erroneous bounding boxes due to rotated images. About 10% of the bounding boxes were completely wrong due to the annotation software we were using. All samples were manually reviewed again, and the erroneous bounding boxes were corrected. Also, ~35 duplicated images were removed from the dataset (images that belong to the same product).
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Size of downloaded dataset files:
640 MB
Size of the auto-converted Parquet files:
640 MB
Number of rows:
1,206
Models trained or fine-tuned on openfoodfacts/nutrition-table-detection