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Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management by Bemposta Rosende, Sergio (author);Ghisler, Sergio (author);Fernández-Andrés, Javier (author);Sánchez-Soriano, Javier (author) is a Computer Science article available to read on EtoBox.
What is Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management about?
A dataset of Spanish road traffic images taken from unmanned aerial vehicles (UAV) is presented with the purpose of being used to train artificial vision algorithms, among which those based on convolutional neural networks stand out. This article explains the process of creating the complete dataset, which involves the acquisition of the data and images, the labeling of the vehicles, anonymization, data validation by training a simple neural network model, and the description of the structure and contents of the dataset (which amounts to 15,070 images). The images were captured by drones (but would be similar to those that could be obtained by fixed cameras) in the field of intelligent vehicle management. The presented dataset is available and accessible to improve the performance of road traffic vision and management systems since there is a lack of resources in this specific domain.
Who reads Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Bemposta Rosende, Sergio (author);Ghisler, Sergio (author);Fernández-Andrés, Javier (author);Sánchez-Soriano, Javier (author)
- Publisher
- MDPI AG
- Published
- 2022
- Language
- EN
- Field
- Computer Science (Physical Sciences)