MYNursingHome: a fully-labelled image dataset for indoor object classification

QR Code

MYNursingHome: a fully-labelled image dataset for indoor object classification

A fully labelled image dataset serves as a valuable tool for reproducible research inquiries and data processing in various computational areas, such as machine learning, computer vision, artificial intelligence and deep learning. Today's research on ageing is intended to increase awareness on...

Full description

Bibliographic Details
Main Authors:	Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi
Format:	Article
Language:	English
Published:	Elsevier 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/86874/ http://psasir.upm.edu.my/id/eprint/86874/1/MYNursingHome.pdf

Similar Items

Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm
by: Ismail, Asmida, et al.
Published: (2020)

Improving Convolutional Neural Network (CNN) architecture (miniVGGNet) with batch normalization and learning rate decay factor for image classification
by: Ismail, Asmida, et al.
Published: (2019)

Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
by: Saeed, Sana
Published: (2019)

Fuzzy logic predictive method for indoor environment parametric dataset
by: Ramachandran, Thinaharan, et al.
Published: (2017)

Deep Learning Using Tiny Domain-Specific Datasets with Sparse Labels
by: Smith, Thomas J
Published: (2021)

An evaluation study on text categorization using automatically generated labeled dataset
by: Zhu, Dengya, et al.
Published: (2017)

Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study
by: Zhu, Dengya, et al.
Published: (2014)

Design of a fully wireless indoor smart energy saving and monitoring system
by: Li, Woon Koay, et al.
Published: (2018)

Indoor navigation for the visually impaired by reading door label
by: Kuan, Wei Yeow
Published: (2024)

Unsupervised labelling of sequential data for location identification in indoor environments
by: Pérez López, Iker, et al.
Published: (2016)

Multi label classification on multi resident in smart home using classifier chains
by: Mohamed, Raihani, et al.
Published: (2018)

Multitemporal quality assessment of grassland and cropland objects of a topographic dataset
by: Helmholz, Petra, et al.
Published: (2012)

Multi-label classification based ensemble learning for human activity recognition in smart home
by: Jethanandani, Manan, et al.
Published: (2020)

A generalized labeled multi-bernoulli filter with object spawning
by: Bryant, D., et al.
Published: (2018)

Labeled Random Finite Sets and Multi-Object Conjugate Priors
by: Vo, Ba Tuong, et al.
Published: (2013)

Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities
by: Papi, Francesco, et al.
Published: (2015)

Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
by: Jethanandani, Manan, et al.
Published: (2019)

Secured electrocardiograph (ECG) signal using fully homomorphic encryption technique
by: Shaikh, Muhammad Umair, et al.
Published: (2020)

A data integration model for multi-agency assets in disaster logistic management
by: Harith, Hazreen Haizi, et al.
Published: (2019)

A preliminary investigation on upper limb exoskeleton assistance for simulated agricultural tasks
by: Harith, Hazreen Haizi, et al.
Published: (2021)

Labelling strategies for hierarchical multi-label classification techniques
by: Triguero, Isaac, et al.
Published: (2016)

Multiple object tracking in unknown backgrounds with labeled random finite sets
by: Punchihewa, Y., et al.
Published: (2018)

Efficient and Adaptive Generic Object Detection Method for Indoor Navigation
by: Rajakaruna, Nimali, et al.
Published: (2013)

Proposed fatigue index for the objective detection of muscle fatigue using surface electromyography and a double-step binary classifier
by: Qassim, Hassan M., et al.
Published: (2022)

Improving multi-resident activity recognition in smart home using multi label classification with adaptive profiling
by: Mohamed, Raihani
Published: (2018)

Smart home using PIR sensor (Based Indoor Location)
by: Jayiddin, Hairul, et al.
Published: (2016)

Question classification of CoQa (QCOC) dataset
by: Abbas Saliimi, Lokman, et al.
Published: (2021)

Classification Of Microarray Datasets Using Random Forest
by: Ng, Ee Ling
Published: (2009)

Campuses fully reopen tomorrow
by: Rajaendram, Rebecca, et al.
Published: (2020)

Generalized labeled multi-Bernoulli space-object tracking with joint prediction and update
by: Jones, B., et al.
Published: (2016)

Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba-Ngu, et al.
Published: (2019)

Robust Multi-Object Tracking: A Labeled Random Finite Set Approach
by: Gardiyawasam Punchihewa, Yuthika Samanmali
Published: (2018)

Multi-Object Tracking Using Labeled Multi-Bernoulli Random Finite Sets
by: Reuter, S., et al.
Published: (2014)

Developing and using matrix methods for analysis of large longitudinal qualitative datasets in out-of-home-care research
by: Hodgson, David, et al.
Published: (2022)

Smart indoor home surveillance monitoring system using raspberry pi
by: Lee, Han Keat, et al.
Published: (2018)

A motion capture dataset on human sitting to walking transitions
by: Perera, Chamalka Kenneth, et al.
Published: (2024)

Large Dataset Classification Using Parallel Processing Concept
by: Aljanabi, Mohammad, et al.
Published: (2020)

Online multi-object tracking via labeled random finite set with appearance learning
by: Kim, Du Yong
Published: (2017)

A labeled random finite set online multi-object tracker for video data
by: Kim, Du Yong, et al.
Published: (2019)

Label Space Partition Selection for Multi-Object Tracking Using Two-Layer Partitioning
by: Lee, Ji Youn, et al.
Published: (2023)