How to quickly improve YOLOv8 model for object detection on drone?

So, we have a drone that process photos with an on-board Nvidia Jetson Nano, and we trained a YOLOv8s model on VisDrone + annotating some of our own images. There’s 14 classes with at least 1,000 images for each class overall. With this, the mAP50-95 of our model is 0.2

The detections seem to be a bit hit or miss, and the project has to be presented in a little less than two weeks. Luckily, there’s only 4 objects we …

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