Traffic images captured from UAVs for use in training Machine Vision Algorithms for traffic management
Authors/Creators
- 1. Universidad Francisco de Vitoria
- 2. Advanced Artificial Intelligence Group (A2IG)
- 3. Universidad Europea de Madrid
Description
A dataset of road traffic images taken from unmanned aerial vehicles (UAV) with the purpose of being used to train artificial vision algorithms, among which those based on convolutional neural networks stand out.
Dataset is available and accessible in order to improve the performance of road traffic vision and management systems due to the lack of resources in this specific domain. The full description of the characteristics of the dataset, as well as its components and format, can be found here: https://www.mdpi.com/2306-5729/7/5/53
The dataset is also available on Kaggle: https://www.kaggle.com/datasets/javiersanchezsoriano/traffic-images-captured-from-uavs
Notes
If you use this dataset please cite this paper:
Bemposta Rosende, S.; Ghisler, S.; Fernández-Andrés, J.; Sánchez-Soriano, J. Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management. Data 2022, 7, 53. https://doi.org/10.3390/data7050053
Technical info
The dataset format is YOLO. Relevant data about the dataset:
|
Scenes |
Frames |
Targets |
Cars |
Motorbikes |
|
Regional road |
4.500 |
24.858 |
14.577 |
10.281 |
|
Urban intersection |
2.462 |
10.759 |
10.759 |
0 |
|
Rural road |
1.292 |
746 |
746 |
0 |
|
Split roundabout |
2.297 |
3.107 |
3.107 |
0 |
|
Roundabout (Far) |
1.814 |
71.819 |
64.844 |
6.975 |
|
Roundabout (Near) |
3.997 |
4.4039 |
43.569 |
470 |
|
Total |
15.070 |
155.328 |
137.602 |
17.726 |
Files
Regional_road.zip
Files
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Additional details
Funding
- Comunidad de Madrid
- SEGVAUTO4.0-CM
- Agencia Estatal de Investigación
- PID2019-104793RB-C32
- Agencia Estatal de Investigación
- PIDC2021-121517-C33