Detecting pedestrians and bikers on a drone with Jetson Xavier

Drones are one of the coolest technologies every maker and enthusiast wants to lay their hands on. At the same time as drones are becoming common, AI is rapidly advancing and we are now in a state where object detection and semantic segmentation are possible right onboard the drone. In this blog post, I will share how to perform object detection on images taken by a drone. Any decent object detection model trained the Stanford dataset should do a good job of detecting these six objects. In this post, we will be using RetinaNet, a very good object detection model released by Facebook (FAIR), which shapes the loss function in such a way that the model learns to focus on hard examples during training and thus learns much better.