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Retail Coolers Computer Vision Project

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This project was created after collecting images from retail coolers at Walgreens stores in Chicago, Illinois and Iowa City, Iowa.

All products are marked/labeled as product, and all empty spaces are labeled as empty

This is a good starter-dataset for anyone interested in doing "void space" calculations (percent of space that is empty), product inventory counts, or making more custom classes for individual product inventory counts.

Versions 2 and 3 were trained from the Microsoft COCO model checkpoint.

Versions 4 and 5 were trained from the SKU-110k model's training checkpoint, from the Roboflow Universe Retail datasets page.

For more, check out the blog posts below:

  1. https://blog.roboflow.com/using-computer-vision-to-keep-stock-of-inventory/
  2. https://blog.roboflow.com/retail-store-item-detection-using-yolov5/

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ retail-coolers_dataset,
    title = { Retail Coolers Dataset },
    type = { Open Source Dataset },
    author = { Roboflow Universe Projects },
    howpublished = { \url{ https://universe.roboflow.com/roboflow-universe-projects/retail-coolers } },
    url = { https://universe.roboflow.com/roboflow-universe-projects/retail-coolers },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jan },
    note = { visited on 2023-01-28 },
}

Last Updated

17 days ago

Project Type

Object Detection

Subject

cooler-products

Classes

empty, product

License

CC BY 4.0