MobileNetV2 for multiple detection

I have a model trained w/ mobilenetv2 for a specific project. The machine were the model is integrated can only accept one object at a time. The problem is I cannot control the user input since the machine will interact with lots of users there may be a;

a case where 2 or more objects are presented to the machine, I want to know if it’s possible for the model to determine that 2 or more objects with diff classification is indeed present in the machine, or if not what can be my work around?

My datasets doesnt have annotation but I’m not quite sure annotation would help since I’m only taking still images.

submitted by /u/clareeenceee
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