Age Group Classifier of Adults and Children with Yolo-Based Deep Learning Pre-Processing Scheme for Embedded Platforms

The objective of this project is to develop an age group classifier using a YOLO (You Only Look Once)-based deep learning model with a pre-processing scheme suitable for embedded platforms. The classifier aims to distinguish between adults and children based on input images or video frames. The primary goal is to create an efficient and accurate age classification system that can run on resource-constrained devices, such as embedded systems, smartphones, or edge devices.