Search Results for author: Takehiro Kashiyama

Found 4 papers, 2 papers with code

Transfer Learning-based Road Damage Detection for Multiple Countries

1 code implementation30 Aug 2020 Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto

Lastly, we provide recommendations for readers, local agencies, and municipalities of other countries when one other country publishes its data and model for automatic road damage detection and classification.

Road Damage Detection Transfer Learning

Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage

no code implementations5 Nov 2019 Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama

In this paper, we investigate state-of-the-art methods for counting pedestrians and the related performance of aerial footage.

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone

2 code implementations29 Jan 2018 Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata

This dataset is composed of 9, 053 road damage images captured with a smartphone installed on a car, with 15, 435 instances of road surface damage included in these road images.

object-detection Object Detection +1

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