Using Synthetic Data For Object Detection on the edge in Hazardous Environments
This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). The problem was split into three separate classes in order to evaluate objects with varying si
