This is a super-light, fast & basic single-shot-detector trained for UAV to detect and avoid objects on the ground during flight based on a YoloV7 model and my own synthetic drone flight datasets! This first generation supports a single output class (people) and is meant to be used as a completely free security feature for anyone building UAV whether for fun or for commercial purposes!

This is alpha 0.1 so very early days but just like OpenLander the code is 100% FOSS and usable for commercial deployments from day 1. There's a lot of progress still to be made on the detection but this first generation works surprisingly well...

If you're more interested in segmentation check out my other repo for UAV AI called "OpenLander" :)