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About Fruit Recognition Deep Learning
This document summarizes a paper that introduces a new dataset of fruit images called Fruits-360 containing over 69,000 images of 101 types of fruits. The paper also presents results from training a neural network to classify fruits in the dataset. The neural network was able to identify fruits with applications in areas like augmented reality, autonomous robots, and fruit harvesting. Previous work on using deep learning for fruit recognition is also reviewed involving datasets, neural network architectures, and applications.
Detailed Information
| Author: | ['saran20099'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 53 |
| Language: | English |
| Format: | |
| Price: | FREE |
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