Abstract: This paper presents a comprehensive evaluation of multiple YOLO (You Only Look Once) model variants for object detection in fisheye lens images, specifically utilizing the FishEye8K dataset.

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...

ICE faces obstacles in hiring new agents, Trump's takeover of the police in D.C., and more Length: Long Speed: 1.0x Health practitioners, companies, and others have for years hailed the potential ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...

A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Abstract: Marine object detection plays a crucial role in various applications such as collision avoidance and autonomous navigation in maritime environments. While most existing datasets focus on 2D ...

A bottleneck to enabling widespread access to molecular diagnostics, especially in low- and middle-income countries, has been the high cost and complex logistics associated with rapid point-of-care ...

While I am running the custom object detection model using ultralyics_yolo. My application is got crashing when it is going to detect the first object. These are the logs while running: ...

This ROS 2 workspace contains a project demonstrating real-time object detection using a smartphone camera stream (via Android) integrated with YOLOv5/v8 through community ROS packages. The detections ...