First release of WALDO: Whereabouts Ascertainment for Low-lying Detectable Objects (get it?)<p>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!<p>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...<p>If you're more interested in segmentation check out my other repo for UAV AI called "OpenLander" :)