Recognize packaging type (bottle, bag…)

[teolemon]

What

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

Part of

• Extract packaging-related information (Tracker) #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 (#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 Test detecting packaging with CircularNet models #207 for a promising approach