Moving object detection is used extensively for applications ranging from security surveillance to traffic monitoring. It is a crucial challenge in the ever-evolving field of computer vision. The ...
Mastering All YOLO Models from YOLOv1 to YOLOv9: Papers Explained (2024)
What is YOLO? You Only Look Once (YOLO): Unified, Real-Time Object Detection is a single-stage object detection model published at CVPR 2016, by Joseph Redmon, famous for having low latency and high ...
Comparing KerasCV YOLOv8 Models on the Global Wheat Data 2020
This article is a continuation of our series of articles on KerasCV. The previous article discussed fine-tuning the popular DeeplabV3+ model for semantic segmentation. In this article, we will shift ...
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 ...
Object Detection using KerasCV YOLOv8
Welcome to this comprehensive guide on object detection using the latest "KerasCV YOLOv8" model. YOLO object detection models have found their way into countless applications, from ...
Real Time Deep SORT with Torchvision Detectors
Tracking is one of the most important components in object detection when it comes to real-world applications. Applications like real-time surveillance and autonomous driving systems cannot reach ...
