Automatic Gathering of Labeled Images Using a Web Crawler to Facilitate Automotive Machine Learning
Chuho Yi1, Jungwon Cho2
1Chuho Yi, Department of Electronics, Dong Seoul University, Seongnam, South Korea, East Asian.
2Jungwon Cho, Department of Computer Education, Jeju National University, Jeju, South Korea, East Asian.
Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 22 June 2019 | PP: 940-945 | Volume-8 Issue-8S2 June 2019 | Retrieval Number: H11590688S219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data preparation for machine learning is time consuming. We built an efficient machine-learning system and automated data preparation. Using a Web crawler, multiple keywords were used to download images to facilitate machine learning of automotive applications by local computers. A verification module then filtered the target images. Here, we explored weather while driving using only images containing vehicles. We found it simple to download images using a Web crawler without manually preparing the experimental learning data. We verified the utility of our approach using a computer vision algorithm. It is possible to eliminate most passive machine learning work when creating huge amounts of diverse data. Our method automatically generates a machine learning dataset for exploring weather features by capturing forward images taken from vehicles.
Keywords: Automatic Gathering, Automotive, Labeled-Image, Machine Learning, Web crawler.
Scope of the Article: Machine Learning