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Datasets:
shelfwise-by-form
/
SKUs_on_shelves_PL

Tasks:
Object Detection
Modalities:
Image
Size:
1M<n<10M
License:
Dataset card Data Studio Files Community
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metadata
license: cc-by-4.0
task_categories:
  - object-detection
size_categories:
  - 1M<n<10M

Images of store shelves captured in Poland, with annotated SKUs/products, in COCO format. Creation of this dataset was co-financed from European Funds as part of an R&D project "Recognition of store products using image analysis".

Recommended to use pycocotools to browse the dataset.

Exemplary image, id 5000

The dataset contains:

  • ~27k images...
  • ...containing ~2M tags...
  • ...of ~8k unique SKUs.

Additional comments:

  • Photos were taken in stores in Poland and in a laboratory setting (as in the example above).
  • All annotations are bounding boxes, but some products were originally annotated with a segmentation mask. Whenever the segmentation field is non-empty it means the bounding box was fitted on the segmentation mask.
  • There are 2 auxiliary annotations, both of N/A supercategory:
    • unreadable means a product was annotated with a bounding box, but its category/class couldn't be unambigously determined.
    • unknown_product represents a SKU that was not in the product database at the time of tagging.