approved
Multi-Task Faces (MTF) dataset

The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four labels (identity, age, race, and gender) to perform four different classification tasks: face recognition, age classification, race classification, and gender classification.

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  • MTF_dataset_20230701ZIP

    The Multi-Task Faces (MTF) dataset consists of cropped human faces for...

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Personal Data Attributes

Description: Personal Data related Information

Field Value
Anonymised No
ChildrenData No
Cross Border Authorised No
Data Protection Impact Assessment No
Ethics Committee Approval No
General Data Yes
Informed Consent Template No
Personal Data Yes
Personal data was manifestly made public by the data subject Yes
Record Of Processing Activities Images gathered from the public domain or released under Creative Common licences
Sensitive Data Yes
Additional Info
Field Value
Accessibility Both
Accessibility Mode Download
Availability On-Line
Basic rights Download
Basic rights Copying
Basic rights Distribution
Basic rights Modification
Basic rights Communication
Basic rights Making available to the public
Creation Date 2023-07-01 11:00
Creator Haffar, Rami, rami.haffar@urv.cat
Dataset Citation We require that all users give appropriate and satisfactory credit to our efforts (at least the URL from which the dataset was downloaded should be mentioned)
Dataset Re-Use Safeguards -
DiskSize 648
Field/Scope of use Any use
Format jpg
Group Others
License term 2023-07-01 /2199-12-31
Manifestation Type Replica
Processing Degree Primary
Retention Period 2023-07-01 /2199-12-31
Semantic Coverage people
Size 5246 images
Sublicense rights No
Territory of use World Wide
Thematic Cluster Privacy Enhancing Technology [PET]
Thematic Cluster Visual Analytics [VA]
system:type Dataset
Management Info
Field Value
Author Manjón Jesús
Maintainer Manjón Jesús
Version 1
Last Updated 11 July 2023, 12:11 (CEST)
Created 10 July 2023, 11:57 (CEST)