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.

Bibliographische Detailangaben
Hauptverfasser:	Mashraf, Chowdhury Zerif, Ayon, Shahriar Ahmed, Yousuf, Abir Bin, Hossain, Fahad
Weitere Verfasser:	Hossain, Muhammad Iqbal
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2021
Schlagworte:	Food Detection CNN ResNet Inception V3 Food > Analysis
Online Zugang:	http://hdl.handle.net/10361/15474

Ähnliche Einträge

Tomato leaf disease detection using convolutional neural network
von: Hasan, Md. Riazul, et al.
Veröffentlicht: (2023)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
von: Rahman, Afridi Ibn, et al.
Veröffentlicht: (2022)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
von: Awwal, Alvina, et al.
Veröffentlicht: (2021)

Covid-19 infected lung detection using machine learning
von: Islam, Md. Muntaha, et al.
Veröffentlicht: (2022)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
von: Shahriar, Farhan, et al.
Veröffentlicht: (2021)

Citrus leaf disease detection by image processing
von: Chowdhury, Mahir Faisal, et al.
Veröffentlicht: (2024)

Plant disease detection using convolutional neural network
von: Hossain, Mohammad Shifat, et al.
Veröffentlicht: (2021)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
von: Athina, Fahima Hasan, et al.
Veröffentlicht: (2022)

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

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
von: Nag, Pollock, et al.
Veröffentlicht: (2023)

Identifying brain abnormalities using image processing and CNN models
von: Talukder, Ismat Shehrin, et al.
Veröffentlicht: (2021)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
von: Ismail, Sayem Mohammad, et al.
Veröffentlicht: (2021)

Smoke detection using deep Convolutional neural network
von: Niloy, Wahidul Hasan, et al.
Veröffentlicht: (2021)

Bone age comparison using convolutional neural network
von: Nawaz, Fariha, et al.
Veröffentlicht: (2019)

Analyzing students’ concentration in online courses through Webcam
von: Asif, Md., et al.
Veröffentlicht: (2024)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
von: Khan, Farhan Sakib, et al.
Veröffentlicht: (2022)

Skin cancer classification for seven types of skin lesions
von: Rahman, Md. Tawsifur, et al.
Veröffentlicht: (2024)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
von: Datta, Pranab, et al.
Veröffentlicht: (2021)

An efficient face recognition model using multiple angular images and deep neural network architecture
von: Subah, Silma, et al.
Veröffentlicht: (2024)

Approaching transfer learning to identify correctly worn facial masks
von: Sadid, Tausif, et al.
Veröffentlicht: (2021)

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

Early detection of cervical cancer using deep neural networks
von: Akhund, Atoshi, et al.
Veröffentlicht: (2023)

Detecting brain tumor using deep neural networks from MRI images
von: Imamuzzaman, A.S.M., et al.
Veröffentlicht: (2021)

A comparative study of lung cancer prediction using deep learning
von: Mugdho, Aka Mohammad, et al.
Veröffentlicht: (2023)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
von: Sarmi, Kaniz Fatima, et al.
Veröffentlicht: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
von: Haque, Abid Hossain, et al.
Veröffentlicht: (2024)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
von: Hossain, Mohammad Sakib, et al.
Veröffentlicht: (2023)

Early prediction of Alzheimer's disease using convolutional neural network
von: Abed, Mahjabeen Tamanna, et al.
Veröffentlicht: (2020)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
von: Shahriar, Hasan, et al.
Veröffentlicht: (2022)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
von: Haque, Samiha, et al.
Veröffentlicht: (2021)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
von: Nivrito, AKM, et al.
Veröffentlicht: (2016)

Speech command classification based on deep neural networks
von: Hossain, Md. Sakib, et al.
Veröffentlicht: (2023)

Brain tumor detection with convolutional neural network
von: Galib, Abrar Tahmid, et al.
Veröffentlicht: (2024)

Obscure face recognition using deep neural networks
von: Akash, MD Shahadat Hossain, et al.
Veröffentlicht: (2023)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
von: Tasnim, Sadia, et al.
Veröffentlicht: (2023)

Food price policy in an era of market instability :

Masked face identification using face recognition
von: Hossen, Tareq, et al.
Veröffentlicht: (2024)

An Efficient deep learning approach to detect Brain Tumor using MRI images
von: Islam, Annur Tasnim, et al.
Veröffentlicht: (2022)

Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
von: Islam, Tahsin, et al.
Veröffentlicht: (2021)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
von: Choudhury, Prionto Kumar, et al.
Veröffentlicht: (2024)