Smart City Gnosys

Smart city article details

Title	Multi-Object Urban Dataset: A Resource For Detecting Pedestrians, Traffic And Motorbikes
ID_Doc	38291
Authors	Patil K.; Gatagat D.; Rumane O.; Pashankar S.; chumchu P.
Year	2024
Published	Data in Brief, 57
DOI	http://dx.doi.org/10.1016/j.dib.2024.110887
Abstract	This article describes a dataset comprising 16,426 real-world urban photographs, capturing vehicles, cyclists, motorbikes, and pedestrians across Morning, Evening, and Night scenes. The dataset is valuable for machine learning tasks in traffic analysis, urban planning, and public safety. It enables the development and validation of algorithms for pedestrian detection, traffic flow analysis, and infrastructure optimization. Our main goal is to assist academics, urban planners, and decision-makers in creating sophisticated models for pedestrian safety, traffic control, and accident avoidance. This dataset is a useful resource for training and verifying algorithms targeted at boosting real-time traffic monitoring systems, optimizing urban infrastructure, and raising 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. © 2024 The Author(s)
Author Keywords	Bicycles; Machine learning; Motorbikes; Object detection; Pedestrians; Public safety; Traffic analysis; Urban dataset

Similar Articles

Id	Similarity	Authors	Title	Published
12041	0.907	Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.	Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision Systems	2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings (2024)
12042	0.907	Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.	Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision Systems	Conference Proceedings - IEEE SOUTHEASTCON (2024)
53206	0.888	Piadyk Y.; Rulff J.; Brewer E.; Hosseini M.; Ozbay K.; Sankaradas M.; Chakradhar S.; Silva C.	Streetaware: A High-Resolution Synchronized Multimodal Urban Scene Dataset	Sensors, 23, 7 (2023)
50572	0.883	Adewopo V.A.; Elsayed N.	Smart City Transportation: Deep Learning Ensemble Approach For Traffic Accident Detection	IEEE Access, 12 (2024)
26125	0.882	Perafan-Villota J.C.; Mondragon O.H.; Mayor-Toro W.M.	Fast And Precise: Parallel Processing Of Vehicle Traffic Videos Using Big Data Analytics	IEEE Transactions on Intelligent Transportation Systems, 23, 8 (2022)
50553	0.881	Duan Z.; Yang Z.; Samoilenko R.; Oza D.S.; Jagadeesan A.; Sun M.; Ye H.; Xiong Z.; Zussman G.; Kostic Z.	Smart City Traffic Intersection: Impact Of Video Quality And Scene Complexity On Precision And Inference	2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021 (2022)
11265	0.872	Sudhakaran P.; Koushik C.R.; George J.G.	Automated Traffic Control For Sustainable Urban Mobility	3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024 - Proceedings (2024)
44480	0.871	Srikanth M.; Krishna N.S.V.S.S.J.; Krishna S.J.S.; Irfan S.; Venkat T.G.	Real-Time Vehicle Detection And Road Condition Prediction For Smart Urban Areas	Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024 (2024)
35056	0.871	Mahmud S.; Day C.M.	Leveraging Data-Driven Traffic Management In Smart Cities: Datasets For Highway Traffic Monitoring	The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems (2022)
47194	0.869	Almeida A.; Fonseca J.; Rasinhas P.; Costa C.; Paiva D.; Silva G.; Rito P.; Sargento S.	Safe Roads: Traffic Management And Road Safety Platform For Smart Cities	2023 IEEE World Forum on Internet of Things: The Blue Planet: A Marriage of Sea and Space, WF-IoT 2023 (2023)