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Image recognition allows machines to identify objects, people, entities, and other variables in images. It is a sub-category of computer vision technology that deals with recognizing patterns and regularities in the image data. The goals of this project is to recognize the shape of the hand that forms scissors, rock, or paper from images.

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Image Recognition of Rock-Paper-Scissors Using Convolutional Neural Network (CNN)

Introduction

This notebook was made as a Final Project from Machine Learning Course at Dicoding

Goals & Objective

The goals is to recognize the shape of the hand that forms scissors, rock, or paper from images

Dataset Information

This dataset has 1312 rows training data and 876 validation data

Results

Base Model:

image

Optimization Model with InceptionV3:

image

Result:

image

About

Image recognition allows machines to identify objects, people, entities, and other variables in images. It is a sub-category of computer vision technology that deals with recognizing patterns and regularities in the image data. The goals of this project is to recognize the shape of the hand that forms scissors, rock, or paper from images.

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