FoodieCal: a convolutional neural network based food detection and calorie estimation system
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| Idioma: | English |
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Brac University
2021
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| Acesso em linha: | http://hdl.handle.net/10361/15474 |
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10361-15474 |
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10361-154742022-01-26T10:15:52Z FoodieCal: a convolutional neural network based food detection and calorie estimation system Mashraf, Chowdhury Zerif Ayon, Shahriar Ahmed Yousuf, Abir Bin Hossain, Fahad Hossain, Muhammad Iqbal Department of Computer Science and Engineering, Brac University Food Detection CNN ResNet Inception V3 Food--Analysis This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-37). According to recent studies across the world, we can see that a healthy diet is the key to having a sound health and body. People nowadays are more concerned with their diets than ever before. With the advancement of science, it is now viable to construct a unique food identification system for keeping track of day to day calorie intake. However, building this kind of system creates several complications on constructing and implementing the model. In our paper, we have developed a new neural network based model which will predict the food items from a given image and show us the estimated calorie of the detected food items. In order to achieve our goal, we have prepared a dataset of around 23000 images for 23 different food categories. Initially, we have developed a single food detection system combining CNN max pooling and ResNet. From our experimentation, we have achieved 93.33% accuracy in this case. Furthermore, we have also taken a step forward to build a system which can detect multiple foods by training CNN with features extracted by Inception V3. We have achieved 89.48% accuracy for this model and we deployed both of our systems on a webpage. The user has to upload an image of food item in the webpage and our system will predict the food item along with the estimated calories in real time. Chowdhury Zerif Mashraf Shahriar Ahmed Ayon Abir Bin Yousuf Fahad Hossain B. Computer Science 2021-10-19T10:19:42Z 2021-10-19T10:19:42Z 2021 2021-01 Thesis ID 16301138 ID 16301209 ID 16101044 ID 16301139 http://hdl.handle.net/10361/15474 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 37 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Food Detection CNN ResNet Inception V3 Food--Analysis |
| spellingShingle |
Food Detection CNN ResNet Inception V3 Food--Analysis Mashraf, Chowdhury Zerif Ayon, Shahriar Ahmed Yousuf, Abir Bin Hossain, Fahad FoodieCal: a convolutional neural network based food detection and calorie estimation system |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Mashraf, Chowdhury Zerif Ayon, Shahriar Ahmed Yousuf, Abir Bin Hossain, Fahad |
| format |
Thesis |
| author |
Mashraf, Chowdhury Zerif Ayon, Shahriar Ahmed Yousuf, Abir Bin Hossain, Fahad |
| author_sort |
Mashraf, Chowdhury Zerif |
| title |
FoodieCal: a convolutional neural network based food detection and calorie estimation system |
| title_short |
FoodieCal: a convolutional neural network based food detection and calorie estimation system |
| title_full |
FoodieCal: a convolutional neural network based food detection and calorie estimation system |
| title_fullStr |
FoodieCal: a convolutional neural network based food detection and calorie estimation system |
| title_full_unstemmed |
FoodieCal: a convolutional neural network based food detection and calorie estimation system |
| title_sort |
foodiecal: a convolutional neural network based food detection and calorie estimation system |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15474 |
| work_keys_str_mv |
AT mashrafchowdhuryzerif foodiecalaconvolutionalneuralnetworkbasedfooddetectionandcalorieestimationsystem AT ayonshahriarahmed foodiecalaconvolutionalneuralnetworkbasedfooddetectionandcalorieestimationsystem AT yousufabirbin foodiecalaconvolutionalneuralnetworkbasedfooddetectionandcalorieestimationsystem AT hossainfahad foodiecalaconvolutionalneuralnetworkbasedfooddetectionandcalorieestimationsystem |
| _version_ |
1814308384069910528 |