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