Improving deep neural networks classification by preprocessing images
| dc.contributor.author | ERDMANN, H. | |
| dc.contributor.author | ITO, F. T. | |
| dc.contributor.author | TAKABAYASHI, D. | |
| dc.contributor.author | DOS SANTOS, D. N. | |
| dc.date.accessioned | 2022-01-12T21:59:31Z | |
| dc.date.available | 2022-01-12T21:59:31Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | © 2016 Taylor & Francis Group, London.The amount of images used to train a classifier has a great impact in the algorithm’s performance. In the domain of e-commerce, most of the dataset is formed by studio images and we demonstrate in this work that by multiplying the amount of images with different transformations can provide a significant boost on the overall performance of the classifier. Moreover, we list the challenges encountered in such task and present the improvements obtained with a classifier trained with additional images that were synthetically generated by applying several transformations on the original dataset. | |
| dc.description.firstpage | 313 | |
| dc.description.lastpage | 319 | |
| dc.identifier.citation | ERDMANN, H.; ITO, F. T.; TAKABAYASHI, D.; DOS SANTOS, D. N. Improving deep neural networks classification by preprocessing images. Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE, p. 313-319, oct. 2015. | |
| dc.identifier.doi | 10.1201/b19241-53 | |
| dc.identifier.uri | https://repositorio.fei.edu.br/handle/FEI/3937 | |
| dc.relation.ispartof | Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 | |
| dc.rights | Acesso Restrito | |
| dc.title | Improving deep neural networks classification by preprocessing images | |
| dc.type | Artigo de evento | |
| fei.scopus.citations | 0 | |
| fei.scopus.eid | 2-s2.0-84959256656 | |
| fei.scopus.subject | Pre-processing image | |
| fei.scopus.updated | 2024-08-01 | |
| fei.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959256656&origin=inward |