Advancing object detection technology, YOLOv9 stands out as a significant development in Object Detection, created by Chien-Yao Wang and his team. This new version introduces innovative methods such ...
YOLO Loss Function Part 2: GFL and VFL Loss
In the preceding article, YOLO Loss Functions Part 1, we focused exclusively on SIoU and Focal Loss as the primary loss functions used in the YOLO series of models. In this article, we will dive ...
YOLOv8 Object Tracking and Counting with OpenCV
In the realm of computer vision, YOLOv8 object tracking is revolutionizing the way we approach real-time tracking and analysis of moving objects. This article takes a close look at the fascinating ...
YOLO Loss Function Part 1: SIoU and Focal Loss
The YOLO (You Only Look Once) series of models, renowned for its real-time object detection capabilities, owes much of its effectiveness to its specialized loss functions. In this article, we delve ...
Introducing YOLO-NAS Pose: A Leap in Pose Estimation Technology
YOLO-NAS Pose models is the latest contribution to the field of Pose Estimation. Earlier this year, Deci garnered widespread recognition for its groundbreaking object detection foundation model, ...
Advanced Driver Assistance Systems (ADAS): Empowering Drivers
As vehicular technology continues to evolve at a rapid pace, the push towards safer, smarter, and more efficient driving experiences has been at the forefront of automotive innovation. Advanced Driver ...