Classification of Major Orchid Genera from Chapada dos Guimarães

• Cristiane Oldoni UFMT
• Thiago Ventura UFMT
• Flávia Luis UFMT

DOI: https://doi.org/10.5753/eri-mt.2024.245836

Abstract

This work deals with automatic identification of some species of orchids from the region of Chapada dos Guimarães, using image classification techniques with Artificial Intelligence, specifically Deep Learning. For this, a database was created with images collected from the internet. The data augmentation technique was applied to enrich the training set and avoid overfitting. Among the tested models, a convolutional neural network model with architecture 32-64-16-64 reached an accuracy of about 65% for the test data, a promising result for this kind of problem.

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