A fruits recognition system based on a modern deep learning technique
Электронный архив ТПУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
A fruits recognition system based on a modern deep learning technique
|
|
| Автор |
Dang Thi Phuong Chung
Dinh Van Tai |
|
| Тематика |
системы распознавания
фрукты компьютерное зрение алгоритмы машинное обучение идентификация изображения нейронные сети сверточные нейронные сети |
|
| Описание |
The popular technology used in this innovative era is Computer vision for fruit recognition. Compared to other machine learning (ML) algorithms, deep neural networks (DNN) provide promising results to identify fruits in images. Currently, to identify fruits, different DNN-based classification algorithms are used. However, the issue in recognizing fruits has yet to be addressed due to similarities in size, shape and other features. This paper briefly discusses the use of deep learning (DL) for recognizing fruits and its other applications. The paper will also provide a concise explanation of convolution neural networks (CNNs) and the EfficientNet architecture to recognize fruit using the Fruit 360 dataset. The results show that the proposed model is 95% more accurate.
|
|
| Дата |
2019-11-29T05:21:24Z
2019-11-29T05:21:24Z 2019 |
|
| Тип |
Conference Paper
Published version (info:eu-repo/semantics/publishedVersion) Conference paper (info:eu-repo/semantics/conferencePaper) |
|
| Идентификатор |
Dang Thi Phuong Chung. A fruits recognition system based on a modern deep learning technique / Dang Thi Phuong Chung, Dinh Van Tai // Journal of Physics: Conference Series. — 2019. — Vol. 1327 : Innovations in Non-Destructive Testing (SibTest 2019) : V International Conference, 26–28 June 2019, Yekaterinburg, Russia : [proceedings]. — [012050, 5 р.].
http://earchive.tpu.ru/handle/11683/57042 10.1088/1742-6596/1327/1/012050 |
|
| Язык |
en
|
|
| Права |
Open access (info:eu-repo/semantics/openAccess)
|
|
| Издатель |
IOP Publishing
|
|