Synthetic Data Generation to Speed-Up the Object Recognition Pipeline
This paper provides a methodology for the production of synthetic images for training neural networks to recognise shapes and objects. There are many scenarios in which it is difficult, expensive and even dangerous to produce a set of images that is satisfactory for the training of a neural network....
Main Authors: | Damiano Perri, Marco Simonetti, Osvaldo Gervasi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/1/2 |
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