An urban traffic dataset composed of visible images and their semantic segmentation generated by the CARLA simulator
Authors/Creators
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1.
Universidad Europea
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2.
Universidad Francisco de Vitoria
- 3. Advanced Artificial Intelligence Group (A2IG)
Description
A dataset of aerial urban traffic images and their semantic segmentation is presented to be used to train computer vision algorithms, among which those based on convolutional neural networks stand out.
The images have been generated using the CARLA simulator (but would be like those that could be obtained with fixed aerial cameras or by using AUVs) in the field of intelligent transportation management.
The presented dataset is available and accessible to improve the performance of vision and road traffic management systems, especially for the detection of incorrect or dangerous maneuvers.
The dataset is also available on Kaggle: https://www.kaggle.com/datasets/javiersanchezsoriano/aerial-traffic-visible-segmentated-by-carla
Notes
If you use this dataset please cite this paper:
Rosende, S.B.; Gavilán, D.S.J.; Fernández-Andrés, J.; Sánchez-Soriano, J. An Urban Traffic Dataset Composed of Visible Images and Their Semantic Segmentation Generated by the CARLA Simulator. Data 2024, 9, 4. https://doi.org/10.3390/data9010004
Files
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Additional details
Funding
- Ministerio de Ciencia, Innovación y Universidades
- PID2019-104793RB-C32 PID2019-104793RB-C32
- Ministerio de Ciencia, Innovación y Universidades
- PIDC2021-121517-C33 PIDC2021-121517-C33
- Ministerio de Ciencia, Innovación y Universidades
- PDC2022-133684-C33 PDC2022-133684-C33