I have some time to look at it, is there a way to get an account for Label Studio ?
Additionally, some details on where the data is stored as well as how to access it would be helpful to assess how many data points are missing to fit a model.
Thanks!

@baslia our Label Studio instance is running at https://annotate.openfoodfacts.org/

Account creation is open to everyone. We perform a daily dump of the proof table that contains all information at https://prices.openfoodfacts.org/data/proofs.jsonl.gz.

Images are stored at https://prices.openfoodfacts.org/img/{path} with {path} being the path of the image file indicated in the dump.

Thank you, would you mind checking the project configuration of the project I just created: "price-tag-shelf".

If everything looks good, I will use the dump to download and load some images for the labelling task.

Great! I just renamed image into image_url (that's the var name we usually use), and renamed as well the label to be lowercased and separated by '-'.

For proof images, we should select proofs with the PRICE_TAG type (these proofs contain images of store shelves and images of individual price tags).
We should probably a fraction of the images that are individual price tags, so that the model recognizes them correctly, but the bulk should be shelves.

Thank you.
I am trying to load a small Json file with the urls, but I am getting an error, do you know what I am doing wrong ?
Here is the Json file:

[
  {
    "data": {
      "image_url": "https://prices.openfoodfacts.org/img/0008/xGpDk1mHT8.webp"
    }
  },
  {
    "data": {
      "image_url": "https://prices.openfoodfacts.org/img/0008/A9ooDKZL1M.webp"
    }
  },
  {
    "data": {
      "image_url": "https://prices.openfoodfacts.org/img/0008/yj22mIR9Nu.webp"
    }
  }
]

I've discussed it directly with @baslia, it was due to a CORS issue, it should work now!