GitHub

Annotated object detection dataset with bounding boxes for training YOLO, R-CNN, and other object detection models.

object-detection-dataset/ ├── train/ │ ├── images/ # 800 training images │ │ ├── image_001.jpg │ │ ├── image_002.jpg ...
Frontiers

UOD-YOLO: a lightweight real-time model for detecting marine organisms

Introduction: Underwater organism detection is critical for intelligent aquaculture and marine ecological monitoring, but real-time deployment on resource-constrained platforms remains challenging due ...
IEEE

MDSF-YOLO: Advancing Object Detection With a Multiscale Dilated Sequence Fusion Network

Abstract: Accurate and fast detection of traffic signs is critical for autonomous driving, particularly in complex environments with diverse sign scales and varying detection distances. Existing ...
Frontiers

Bidirectional dynamic threshold SNN for enhanced object detection with rich spike information

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...
Scientific Research Publishing

Zhou, Q., Zhang, D., Liu, H. and He, Y. (2024) KCS-YOLO: An Improved Algorithm for Traffic Light Detection under Low Visibility Conditions. Machines, 12, Article 557.

ABSTRACT: 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 ...
GitHub

YOLO Object Detection and Classification Explanation

YOLO identifies WHERE objects are in the image by drawing bounding boxes around them with coordinates (x, y, width, height). Multi-class Classification: Each bounding box gets a class label from ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...