CNN Model & Tuning for Global Road Damage Detection

@article{Vishwakarma2020CNNM,
  title={CNN Model \& Tuning for Global Road Damage Detection},
  author={Rahul Vishwakarma and Ravigopal Vennelakanti},
  journal={2020 IEEE International Conference on Big Data (Big Data)},
  year={2020},
  pages={5609-5615}
}
This paper provides a report on our solution including model selection, tuning strategy and results obtained for Global Road Damage Detection Challenge. This Big Data Cup Challenge was held as a part of IEEE International Conference on Big Data 2020. We assess single and multi-stage network architectures for object detection and provide a benchmark using popular state-of-the-art open-source PyTorch frameworks like Detectron2 and Yolov5. Data preparation for provided Road Damage training dataset… 

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