title: Is it possible to significantly reduce the inference time of images by reducing the number of object classes?
body: <p>I am using YOLOv4 to train my custom detector. Source: <a href="https://github.com/AlexeyAB/darknet" rel="nofollow noreferrer">https://github.com/AlexeyAB/darknet</a></p>
  <p>One of the issues while training is the computing power of GPU and available video RAM. What is the relationship between number of object classes and the time it takes to train the model? Also, is it possible to significantly reduce the inference time of images by reducing the number of object classes? The goal is to run inference on a Raspberry Pi or a Jetson Nano.</p>
  <p>Any help is much appreciated. Thanks.</p>