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 ...
Moving Object Detection with OpenCV using Contour Detection and Background Subtraction
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 YOLO-NAS: 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 ...
SegFormer 🤗 : Fine-Tuning for Improved Lane Detection in Autonomous Vehicles
SegFormer: Segmentation has heavily impacted the development of advanced driver assistance systems. It has been pivotal in the rapid development of autonomous vehicle technology. It is built up of ...
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 ...
Medical Image Segmentation Using 🤗 HuggingFace & PyTorch
Medical image segmentation is an innovative process that enables surgeons to have a virtual "x-ray vision." It is a highly valuable tool in healthcare, providing non-invasive diagnostics and in-depth ...