Input size Aspect Ratio

I am trying to detect objects such as cardboard boxes and people. For most of my training experiments I am using a width of 576 and height of 320 making the aspect ratio: 1.8.

But, I am noticing peoplenet model has an input size dimension of 544 width x 960 height making the aspect ratio 0.56.

I understand that aspect ratio makes sense because people will have a smaller width in comparison to the height; whereas my aspect ratio does the opposite - it has the input width of almost the height. Will this impact my performance for people detection because of the mismatch between the aspect ratio?

Please note that the peoplenet is trained by 960(width) * 544(height) images instead of 960(height) * 544(width) images.

Your images’ aspect ratio is similar to it.