Volume Wise Detection

Title: Seeking advice on building an object detection model for distinguishing bottles based on volume

I’m working on a project where I need to develop an object detection model that can accurately predict the volume of different bottles based on their appearance. The objective is to differentiate between bottles with varying volumes, such as 500ML and 1000ML, among other potential classes. I’m looking for suggestions regarding suitable algorithms and approaches that can be utilized for this task. Any guidance, recommendations, or insights on the best practices for building such a model would be highly appreciated. Thank you in advance for your help!

You could check out the YOLO model, just an idea!

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Hi Gent.spah!
I tried with that also but I’m not getting satisfactory results, could you please or anyone suggest me another network architecture for the same.

Im no expert in this and its not an easy task but during a quick google search I came across these 2 pages you should look:

Let us know if you achieve any results.

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sure sir I will share, thank you for suggestion.