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About Fruit Recognition From Images Using Deep Learning: Acta Universitatis Sapientiae, Informatica June 2018
This document discusses a new dataset of fruit images called Fruits-360 that contains over 65,000 images of 95 different fruits. The authors trained a deep neural network to classify fruits from the images with the goal of creating an object recognition system. Some potential applications of fruit classification include autonomous grocery store robots and fruit harvesting robots. The paper reviews previous work using deep learning for fruit recognition and describes the Fruits-360 dataset and the neural network architecture used for classification.
Detailed Information
| Author: | ['Syai'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 54 |
| Language: | English |
| Format: | |
| Price: | FREE |
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