Recognize packaging type (bottle, bag…)

[teolemon]

What

• [ ] Recognize packaging type (bottle, bag…)
• Closely related to #23

Part of

• #97

[vasu-dev]

@teolemon I would like to take up this issue. I have already started working on it . To start with i'm planning to take around 800-900 images and classify them in two broad categories i.e bottles/cans and others

[vasu-dev]

I will start will manual data annotation and then use the classifier to further annotate the data. I'm already half way through it

[vasu-dev]

Here is the github repo of the classifier i was taking about : https://github.com/vasu-dev/packing-classifier

the results are not very good as i just used 881 samples due to memory restrictions. I have trained the model with data argumentation

[vasu-dev]

A better approch to this problem would be first Recognize packaging material (https://github.com/openfoodfacts/openfoodfacts-ai/issues/23) and then used it to find the packing type . I would love to combine them and work on it as my GSoC project.

[ademenet]

I'm working on it!

Right now I'm looking to the datas and figuring out how many labels we are going to need to be pertinent.

I'll look to your work @vasu-dev. Did you find why it doesn't work?

[97k]

I'd love to work on this issue, please assign it to me if nobody is working on it. @teolemon, Should I start working on it, or I have to wait until it gets assigned to me?

@ademenet Are you still working on it?

[CloCkWeRX]

I started looking at this - doe something have curves and straight lines: cylinder; corners and straight lines? Box

But after a bit of thought, #55 seemed an easier problem to solve - perhaps could be used as a validation for training.

[teolemon]

• Please see https://github.com/openfoodfacts/openfoodfacts-ai/issues/207 for a promising approach