Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico

Undoubtedly, image classification is one of the most fundamental and well-known tasks in machine learning (ML) and computer vision. This task is crucial to many applications across domains such as medical diagnosis, autonomous vehicles, security surveillance, and entertainment to automate visual data analysis.

However, we only get insights into what we have in the image when it comes to image classification. In fact, if we want to figure out where objects are located within the scene, especially if there’s more than one, we need to turn to a more advanced technique in computer vision known as object detection.

Object detection is more computationally intensive than image classification because it involves performing the classification task in multiple regions and scales of the input image simultaneously to identify the objects and their respective locations.

Despite this challenge, this chapter...