Evaluating YOLOv10 for Vector

The latest real-time object detection model from the YOLO series

Background

YOLO (You Only Look Once) is a class of Machine Learning models that facilitate object detection and image classification with great speed and accuracy. YOLO is very popular in applications that require real-time object detection such as autonomous driving and robotics navigation.

Our posts describing how to let a Vector robot detect another Vector robot (using the Python SDK) using the YOLO models have been very popular… In the past we have written a comparison between YOLOv4 vs YOLOv5, YOLOv5 vs YOLOv6 vs YOLOv7, on YOLOv8, and on YOLOv9.

YOLOv10

The next enhancement in YOLO: YOLOv10 was released by researchers at Tsingua University in May 2024. Without diving into too many technical details which we will reserve for another post, the fundamental contributions of YOLOv10 have been to provide a smaller model which delivers comparable accuracy; therefore requiring lower computational overhead and achieving faster inference. Quoting from the paper, compared to YOLOv8 models for…