Work

Multi-object urban dataset: A resource for detecting pedestrians, traffic and motorbikes

Year: 2024

Type: data-paper

Abstract: overall road safety because of its high variability and significant volume. This dataset represents a major advancement for smart city projects and the creation of intelligent transportation systems.

Source: Data in Brief

DOI: 10.1016/j.dib.2024.110887

Authors: Kailas Patil, Darshana Gatagat, Omkar Rumane, Siddharth Pashankar, Prawit chumchu

Institutions: Kasetsart University, Vishwakarma University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $850

Funder: Kasetsart University

OpenAlex ID: W4402023121

Cites: 10

Cited by: 2

Related to: 10