Transfer Learning and On-Fly Data Augmentation for Scene UnderstandingUsing InceptionResNet

Michael Nachipyangu, Jiangbin Zheng, Palme Mawagali

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Deep learning models require large amounts of data to achieve good results. However, most datasets consist of images taken from similar angles, brightness levels, and orientations, which do not reflect the diverse reality of scenes. To address this issue, data augmentation techniques are employed to generate images that mimic actual scenarios, thereby increasing the training data for the model. In this paper, we propose an on-The-fly data augmentation approach that enhances the dataset while minimizing the need for additional storage by not saving augmented images to disk. We evaluate different pretrained and trained-from-scratch Convolutional Neural Network (CNN) models on benchmark scene datasets (Scene15 and MIT67), and our results demonstrate that fine-Tuning the InceptionResNetV2 model achieves competitive performance compared to state-of-The-Art methods on these datasets with accuracy of 95% and 86% respectively. This research contributes to creating more realistic scene representations through data augmentation while optimizing disk space usage. Furthermore, we highlight the effectiveness of data augmentation as a regularization technique by reducing loss. The findings presented in this paper provide valuable insights for scene understanding tasks and have implications for various applications such as education, healthcare systems, autonomous vehicles, and domestic robot navigation.

源语言英语
主期刊名6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023 - Proceeding
出版商Institute of Electrical and Electronics Engineers Inc.
496-500
页数5
ISBN(电子版)9798350358346
DOI
出版状态已出版 - 2023
活动6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023 - Batam, 印度尼西亚
期限: 11 12月 2023 → …

出版系列

姓名6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023 - Proceeding

会议

会议6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023
国家/地区印度尼西亚
Batam
时期11/12/23 → …

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