This study proposes the EL-YOLO (Efficient Lightweight You Only Look Once) algorithm based on YOLOv8, designed specifically for intelligent ship object detection. EL-YOLO incorporates novel features, including adequate wise IoU (AWIoU) for improved bounding box regression, shortcut multi-fuse neck ...
What is YOLO architecture and how does it work? Learn about different YOLO algorithm versions and start training your own YOLO object detection models.
YOLO (You Only Look at Once) algorithm is used for object detection and recognition. This algorithm gives very close accuracy for object detection in real time and studies have also proven the this algorithm is faster and better than other object detection algorithms. 展开 ...
YOLO is a state-of-the-art (SOTA)object detectionalgorithm, and it is so fast that it has become one of the standard ways of detecting objects in the field of computer vision. Previously, sliding window operations were most common in object detection. Then came improvements, and faster versi...
The chapter "YOLO with Webcam" showcases real-time object detection using the YOLO algorithm with a webcam. The Python script Yolo-Webcam.py captures video from the webcam and applies object detection using YOLO, providing a real-time detection experience. Project 1 - Car Counter The "Car ...
magnitude faster(45 frames per second) than other object detection algorithms. The limitation of YOLO algorithm is that it struggles with small objects within the image, for example it might have difficulties in detecting a flock of birds. This is due to the spatial constraints of the algorithm...
Perform classification, object detection, transfer learning using convolutional neural networks (CNNs, or ConvNets), create customized detectors
A streamlined approach for intelligent ship object detection using EL-YOLO algorithm Article Open access 02 July 2024 Enhancing two-stage object detection models via data-driven anchor box optimization in UAV-based maritime SAR Article Open access 27 February 2024 Lightweight air-to-air unmanned...
This is an implementation of YOLO (You Only Look Once), a fast, real-time object detection algorithm that is widely used in the field of computer vision. It is capable of detecting multiple objects in an image and assigning them semantic labels based on their class. The following image is...
To solve this issue, we attend to study the object detection algorithm in the scenarios for both daytime as well as dark scene. Considering the high efficiency of the YOLO algorithm under sufficient light conditions as well as the needs of object detection under poor light, this paper proposes...