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Urban Object Detection
2D Box
Autonomous Driving
|...
License: Custom

Overview

We propose a new dataset that is used for benchmarking the accuracy of a real-time object
detector (Faster R-CNN). Part of the data was collected using an HD camera mounted on a vehicle.
Furthermore, some of the data is weakly annotated so it can be used for testing weakly supervised
learning techniques. There already exist urban object datasets, but none of them include all
the essential urban objects. We carried out extensive experiments demonstrating the effectiveness
of the baseline approach. Additionally, we propose an R-CNN plus tracking technique to accelerate
the process of real-time urban object detection.

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Citation

@article{dominguez2018new,
  title={A new dataset and performance evaluation of a region-based cnn for urban object detection},
  author={Dominguez-Sanchez, Alex and Cazorla, Miguel and Orts-Escolano, Sergio},
  journal={Electronics},
  volume={7},
  number={11},
  pages={301},
  year={2018},
  publisher={Multidisciplinary Digital Publishing Institute}
}

License

Custom

Data Summary
Type
Image,
Amount
--
Size
22.44GB
Provided by
RoViT
The Robotics and Tridimensional Vision Group (RoViT) researches many aspects of mobile robotics using 3D data as the main source of perception.
| Amount -- | Size 22.44GB
Urban Object Detection
2D Box
Autonomous Driving
License: Custom

Overview

We propose a new dataset that is used for benchmarking the accuracy of a real-time object
detector (Faster R-CNN). Part of the data was collected using an HD camera mounted on a vehicle.
Furthermore, some of the data is weakly annotated so it can be used for testing weakly supervised
learning techniques. There already exist urban object datasets, but none of them include all
the essential urban objects. We carried out extensive experiments demonstrating the effectiveness
of the baseline approach. Additionally, we propose an R-CNN plus tracking technique to accelerate
the process of real-time urban object detection.

Data Preview

Label Distribution

Citation

@article{dominguez2018new,
  title={A new dataset and performance evaluation of a region-based cnn for urban object detection},
  author={Dominguez-Sanchez, Alex and Cazorla, Miguel and Orts-Escolano, Sergio},
  journal={Electronics},
  volume={7},
  number={11},
  pages={301},
  year={2018},
  publisher={Multidisciplinary Digital Publishing Institute}
}

License

Custom

0
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