Object Detection Model Sizes and Real-Time Performance on Jetson

[Pettedig]

Hello,

I am currently working on a project where we are evaluating the object detection models provided by StereoLabs. I noticed that there are different model sizes available.

Could you please explain why there are different model sizes for the object detection models, such as MULTI_CLASS_BOX_FAST, MULTI_CLASS_BOX_MEDIUM, and MULTI_CLASS_BOX_ACCURATE?

Furthermore, are the smaller models specifically designed and optimized for real-time use, especially on embedded devices like the NVIDIA Jetson platform?

Best regards,
Petter Dignes

[Myzhar]

Hi @Pettedig
Bigger models are more accurate, but require higher computing time.
You must select the model that best fulfills your requirements in terms of detection frequency and detection accuracy.

@Pettedig

Furthermore, are the smaller models specifically designed and optimized for real-time use, especially on embedded devices like the NVIDIA Jetson platform?

Yes, this is the case