<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this paper we introduce a new, high-quality, dataset of images containing fruits. We also present the results of some numerical experiment for training a neural network to detect fruits. We discuss the reason why we chose to use fruits in this project by proposing a few applications that could use such classifier.</p></abstract>

In this paper we introduce a new, high-quality, dataset of images containing fruits. We also present the results of some numerical experiment for training a neural network to detect fruits. We discuss the reason why we chose to use fruits in this project by proposing a few applications that could use such classifier.

Fruit recognition from images using deep learning

Faculty of Mathematics and Computer Science

Faculty of Exact Sciences and Engineering

Acta Universitatis Sapientiae, Informatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Fruit recognition from images using deep learning"}

In this paper we introduce a new, high-quality, dataset of images containing fruits. We also present the results of some numerical experiment for training a...

Fruit recognition from images using deep learning

Online veröffentlicht: 29. Aug. 2018

Seitenbereich: 26 - 42

Eingereicht: 15. Mai 2018

DOI: https://doi.org/10.2478/ausi-2018-0002

Schlüsselwörter
deep learning, object recognition, computer vision, fruits dataset, image processing

© 2018 Horea Mureşan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Fruit recognition from images using deep learning

Online veröffentlicht: 29. Aug. 2018

Seitenbereich: 26 - 42

Eingereicht: 15. Mai 2018

DOI: https://doi.org/10.2478/ausi-2018-0002

Schlüsselwörterdeep learning, object recognition, computer vision, fruits dataset, image processing

© 2018 Horea Mureşan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
deep learning, object recognition, computer vision, fruits dataset, image processing