README inconsistencies in some object detection metrics

[Foahh]

I am reviewing each README.md file for object detection model selection and noticed a few confusing points.

In object_detection\yolov11n\README.md

1. The values for NPU memory footprint and NPU inference time are missing for the 640x640x3 model.
   or
2. The value for AP on COCO Person dataset is missing for the 256x256x3 model.

In object_detection\st_yoloxn\README.md

1. The parameters appear to be the same, but the AP values are different. I believe this may be a mistake.

[LFOSTM]

Hello,
Thanks for pointing these mistakes:

• concerning st_yoloxn, there is a typo in the resolution column in the 2nd yellow square : it should be 256x256x3
• For yolo11, we will add the mAP for 256x256x3. The 640x640 version is mainly available for the user to fine tune to other resolutions and using his own dataset and number of classes.
  Updates will be done soon.