FoodieCal: a convolutional neural network based food detection and calorie estimation system

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.

Détails bibliographiques
Auteurs principaux:	Mashraf, Chowdhury Zerif, Ayon, Shahriar Ahmed, Yousuf, Abir Bin, Hossain, Fahad
Autres auteurs:	Hossain, Muhammad Iqbal
Format:	Thèse
Langue:	English
Publié:	Brac University 2021
Sujets:	Food Detection CNN ResNet Inception V3 Food > Analysis
Accès en ligne:	http://hdl.handle.net/10361/15474

Documents similaires

Tomato leaf disease detection using convolutional neural network
par: Hasan, Md. Riazul, et autres
Publié: (2023)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
par: Rahman, Afridi Ibn, et autres
Publié: (2022)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
par: Awwal, Alvina, et autres
Publié: (2021)

Covid-19 infected lung detection using machine learning
par: Islam, Md. Muntaha, et autres
Publié: (2022)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
par: Shahriar, Farhan, et autres
Publié: (2021)

Citrus leaf disease detection by image processing
par: Chowdhury, Mahir Faisal, et autres
Publié: (2024)

Plant disease detection using convolutional neural network
par: Hossain, Mohammad Shifat, et autres
Publié: (2021)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
par: Athina, Fahima Hasan, et autres
Publié: (2022)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
par: Akhter, Nasrin
Publié: (2023)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
par: Nag, Pollock, et autres
Publié: (2023)

Identifying brain abnormalities using image processing and CNN models
par: Talukder, Ismat Shehrin, et autres
Publié: (2021)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
par: Ismail, Sayem Mohammad, et autres
Publié: (2021)

Smoke detection using deep Convolutional neural network
par: Niloy, Wahidul Hasan, et autres
Publié: (2021)

Bone age comparison using convolutional neural network
par: Nawaz, Fariha, et autres
Publié: (2019)

Analyzing students’ concentration in online courses through Webcam
par: Asif, Md., et autres
Publié: (2024)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
par: Khan, Farhan Sakib, et autres
Publié: (2022)

Skin cancer classification for seven types of skin lesions
par: Rahman, Md. Tawsifur, et autres
Publié: (2024)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
par: Datta, Pranab, et autres
Publié: (2021)

An efficient face recognition model using multiple angular images and deep neural network architecture
par: Subah, Silma, et autres
Publié: (2024)

Approaching transfer learning to identify correctly worn facial masks
par: Sadid, Tausif, et autres
Publié: (2021)

Brain tumor segmentation from MRI images using convolutional neural networks
par: Khan, Mushfiqur Rahman
Publié: (2024)

Early detection of cervical cancer using deep neural networks
par: Akhund, Atoshi, et autres
Publié: (2023)

Detecting brain tumor using deep neural networks from MRI images
par: Imamuzzaman, A.S.M., et autres
Publié: (2021)

A comparative study of lung cancer prediction using deep learning
par: Mugdho, Aka Mohammad, et autres
Publié: (2023)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
par: Sarmi, Kaniz Fatima, et autres
Publié: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
par: Haque, Abid Hossain, et autres
Publié: (2024)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
par: Hossain, Mohammad Sakib, et autres
Publié: (2023)

Early prediction of Alzheimer's disease using convolutional neural network
par: Abed, Mahjabeen Tamanna, et autres
Publié: (2020)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
par: Shahriar, Hasan, et autres
Publié: (2022)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
par: Haque, Samiha, et autres
Publié: (2021)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
par: Nivrito, AKM, et autres
Publié: (2016)

Speech command classification based on deep neural networks
par: Hossain, Md. Sakib, et autres
Publié: (2023)

Brain tumor detection with convolutional neural network
par: Galib, Abrar Tahmid, et autres
Publié: (2024)

Obscure face recognition using deep neural networks
par: Akash, MD Shahadat Hossain, et autres
Publié: (2023)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
par: Tasnim, Sadia, et autres
Publié: (2023)

Food price policy in an era of market instability :

Masked face identification using face recognition
par: Hossen, Tareq, et autres
Publié: (2024)

An Efficient deep learning approach to detect Brain Tumor using MRI images
par: Islam, Annur Tasnim, et autres
Publié: (2022)

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
par: Islam, Tahsin, et autres
Publié: (2021)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
par: Choudhury, Prionto Kumar, et autres
Publié: (2024)