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TwitterAttribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically
The dataset contains a collection of images representing GENERATED USA Passports. Each passport image is segmented into different zones, including the passport zone, photo, name, surname, date of birth, sex, nationality, passport number, and MRZ (Machine Readable Zone).
The dataset can be utilized for computer vision, object detection, data extraction and machine learning models.
Generated passports can assist in conducting research without accessing or compromising real user data that is often sensitive and subject to privacy regulations. Synthetic data generation allows researchers to develop and refine models using simulated passport data without risking privacy leaks.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F2711436e8047c5f6b39f44c7f49c9f48%2FFrame%2030.png?generation=1696928571861968&alt=media" alt="">
Each image from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the polygons and labels . For each point, the x and y coordinates are provided.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff0700dab9f95e86770ab306a1026fcb5%2Fcarbon.png?generation=1696929570768186&alt=media" alt="">
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keywords: image dataset, generated data, passports, passport designs, machine-readable zone, mrz, synthetic data, synthetic data generation, synthetic dataset , gdpr synthetic data, object detection, computer vision, documents, document security, cybersecurity, information security systems, segmentation dataset, semantic segmentation, image dataset, image classification
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TwitterUtilising a regression analysis we created a correlation matrix utilising a number of demographic indicators from the Local Insight platform. This application is showing the distribution of the datasets that were found to have the strongest relationships, with the base comparison dataset of proportion of population holding no passport. This app contains the following datasets: proportion of people in employment in social grade N-SEC 6 semi-routine occupations, proportion of households that are compromised of one one cohabitating couple family with dependent children, proportion of people in employment in social grade N-SEC 7 routine occupations, proportion of people classified as part of TfWM Traditional Ways persona, proportion of people aged 16 to 24 receviing DWP benefits, estimate of proportion of adults engaged in healthy eating, proportion of people aged 16 to 24 with no qualifications, proportion of people receiving DLA or PIP, proportion of people presumed to be part of Pressured Families TfWM persona and proportion of people aged 16 to 24 who are receving DWP benefits.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset provides Census 2021 estimates that classify usual residents in England and Wales by passports held and by age. The estimates are as at Census Day, 21 March 2021.
Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport. Only the first country written in “Other passport” was taken. Read more about this quality notice.
Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.
Area type
Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.
For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.
Lower tier local authorities
Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.
Coverage
Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:
Passports held
All passports classifies a person according to the passport or passports they held at the time of the census. This included expired passports or travel documents people were entitled to renew. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport.
Age
A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.
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TwitterNot all world citizens are treated equally. One way we might think about measuring inequality in the value of a person’s citizenship is by the number of countries in which they can freely travel. This data set contains information on the global reach of national passports for 199 countries. Data identify the number of countries in which each passport is granted visa free travel, a visa on arrival, and the number of countries in which each passport is welcomed by destination countries. The data were downloaded from https://www.passportindex.org/byIndividualRank.php on April 11, 2016 using the following R scraper package (https://github.com/sdorius/passportr).
INFORMATION ABOUT VARIABLES: visarank: Passport Index rank (was originally labeled 'Global Rank'). visafree: Number of countries in which the passport allows for visa-free travel (originally labeled 'Individual Rank'). visaoa: Number of countries in which the passport allows for visa-on-arrival (originally labeled 'Individual Rank'). visawelc Number of passports accepted for travel by the destination country (originally labeled 'Welcoming Rank').
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TwitterAttribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically
The dataset contains a collection of images representing GENERATED USA Passports. Each passport image is segmented into different zones, including the passport zone, photo, name, surname, date of birth, sex, nationality, passport number, and MRZ (Machine Readable Zone).
The dataset can be utilized for computer vision, object detection, data extraction and machine learning models.
Generated passports can assist in conducting research without accessing or compromising real user data that is often sensitive and subject to privacy regulations. Synthetic data generation allows researchers to develop and refine models using simulated passport data without risking privacy leaks.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F2711436e8047c5f6b39f44c7f49c9f48%2FFrame%2030.png?generation=1696928571861968&alt=media" alt="">
Each image from images folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the polygons and labels . For each point, the x and y coordinates are provided.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff0700dab9f95e86770ab306a1026fcb5%2Fcarbon.png?generation=1696929570768186&alt=media" alt="">
🚀 You can learn more about our high-quality unique datasets here
keywords: image dataset, generated data, passports, passport designs, machine-readable zone, mrz, synthetic data, synthetic data generation, synthetic dataset , gdpr synthetic data, object detection, computer vision, documents, document security, cybersecurity, information security systems, segmentation dataset, semantic segmentation, image dataset, image classification