International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
July-August 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Al-yousofi: A Novel Benchmark For Multi-vehicle Detection And Tracking

Author(s) Ahmad Al-Omari
Country Jordan
Abstract Vehicle detection in aerial imagery has been instrumental in a wide range of applications. Lately, as a result of the robust feature representations, convolutional neural networks (CNN) based detection methods have achieved prodigious performance in computer vision. The diversity of dataset sources that relate to vehicle images is numerous, but it is not sufficient in some cases due to the different types of vehicles from one country to another. In this paper, we propose a new dataset of vehicle images called AL-YOUSOFI taken in the Hashemite Kingdom of Jordan, Irbid city. The AL-YOUSOFI benchmark dataset consists of 40 challenging videos captured from real-world traffic scenes (over 158,000 frames with rich annotations, including vehicle type and vehicle bounding boxes) for multi-object detection and tracking. The state-of-the-art algorithms that have been previously trained on AL-YOUSOFI, has been evaluated. The results showed a variation in efficiency between the algorithms, and this is due to how each works. The full dataset is available at this URL.
Keywords vehicle detection dataset, computer vision, object tagging, data collection, object detection and tracking benchmark
Field Computer > Data / Information
Published In Volume 5, Issue 5, September-October 2023
Published On 2023-10-26
Cite This Al-yousofi: A Novel Benchmark For Multi-vehicle Detection And Tracking - Ahmad Al-Omari - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.7858
DOI https://doi.org/10.36948/ijfmr.2023.v05i05.7858
Short DOI https://doi.org/gszvkm
View / Download PDF File

Share this


E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 4 Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com