Detecting small objects in aerial imagery, particularly for critical applications like sea rescue, presents unique challenges. Timely detection of people in the water can mean the difference between ...
Mastering Recommendation System: A Complete Guide
Suppose you’re listening to a song on Spotify, watching a video on YouTube or Netflix, or shopping on Amazon; you’ll always see a list of similar songs, videos, or products recommended to you. ...
Building MobileViT Image Classification Model from Scratch In Keras 3
In the rapidly evolving field of deep learning, the challenge often lies not just in designing powerful models but also in making them accessible and efficient for practical use, especially on devices ...
YOLOv9: Advancing the YOLO Legacy
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 ...
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, ...