Traffic images captured from UAVs for use in training Machine Vision Algorithms for traffic management
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接：
https://zenodo.org/record/5776218
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资源简介：
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
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 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
创建时间：
2022-10-01
