画像電子学会年次大会予稿集
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 46th Annual Conference of the Institute of Image Electronics Engineers of Japan 2018
セッションID: R1-4
会議情報

A Study on Manhole Detection and Classification with Deep-learning based Methods
*Yongqing SunShingo AndoJun ShimamuraTetsuya Kinebuchi
著者情報
キーワード: Object detection, Manhole, SSD, YOLO
会議録・要旨集 認証あり

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On this report, we would be presenting our observation on various object detection methods on manhole dataset. The first method that we tried is the original Single Shot Detector built on top of Caffe; we tried both input size available 300x300 and 512x512. For both experiments, we got pretty promising results. In addition to those experiments, we also tried Single Shot Detector built on Keras and did basically the same experiment. The result is not that great in comparison to SSD on Caffe.

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© 2018 The Institute of Image Electronics Engineers of Japan
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