Best method/s to improve accuracy of VisDrone model on drone? Using YOLOv8s and Nvidia Jetson Nano

\*Respost because of wrong flair\*

So I've trained a YOLOv8s model on VisDrone, and have an mAP50 of 0.47 and an mAP50-95 of 0.29. I'm quite new to all this, so I was disappointment to learn these values aren't all that great. However, these mAP metrics are very similar to those found by [researchers in this paper](https://www.mdpi.com/2079-9292/12/10/2323) (see Table 2). If anyone would like to see the some additional metrics for this model, [take a look here](https://imgur.com/a/W2cOTkw).

I could increase …

accuracy case computervision dataset drone flair giving image jetson nvidia think