100+ datasets found
  1. AT&T Database of Faces

    • kaggle.com
    Updated Dec 17, 2019
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    Kasikrit Damkliang (2019). AT&T Database of Faces [Dataset]. https://www.kaggle.com/kasikrit/att-database-of-faces/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 17, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Kasikrit Damkliang
    Description

    The Database of Faces

    Our Database of Faces, (formerly 'The ORL Database of Faces'), contains a set of face images taken between April 1992 and April 1994 at the lab. The database was used in the context of a face recognition project carried out in collaboration with the Speech, Vision and Robotics Group of the Cambridge University Engineering Department.

    There are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). A preview image of the Database of Faces is available.

    The files are in PGM format, and can conveniently be viewed on UNIX (TM) systems using the 'xv' program. The size of each image is 92x112 pixels, with 256 grey levels per pixel. The images are organised in 40 directories (one for each subject), which have names of the form sX, where X indicates the subject number (between 1 and 40). In each of these directories, there are ten different images of that subject, which have names of the form Y.pgm, where Y is the image number for that subject (between 1 and 10).

    The database can be retrieved from http://www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/att_faces.tar.Z as a 4.5Mbyte compressed tar file or from http://www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/att_faces.zip as a ZIP file of similar size.

    A convenient reference to the work using the database is the paper Parameterisation of a stochastic model for human face identification. Researchers in this field may also be interested in the author's PhD thesis, Face Recognition Using Hidden Markov Models, available from http://www.cl.cam.ac.uk/Research/DTG/attarchive/pub/data/fsamaria_thesis.ps.Z (~1.7 MB).

    When using these images, please give credit to AT&T Laboratories Cambridge.

    UNIX is a trademark of UNIX System Laboratories, Inc.

    Contact information Copyright © 2002 AT&T Laboratories Cambridge

    Credit: https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html

  2. f

    A comparison of face recognition rates on AT&T Database.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jian-Xun Mi; Jin-Xing Liu; Jiajun Wen (2023). A comparison of face recognition rates on AT&T Database. [Dataset]. http://doi.org/10.1371/journal.pone.0042461.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jian-Xun Mi; Jin-Xing Liu; Jiajun Wen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The best results obtained by our method are listed together with the corresponding shown in brackets.

  3. T

    AT&T | T - Assets

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). AT&T | T - Assets [Dataset]. https://tradingeconomics.com/t:us:assets
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 14, 2025
    Area covered
    United States
    Description

    AT&T reported $397.47B in Assets for its fiscal quarter ending in March of 2025. Data for AT&T | T - Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  4. T

    AT&T | T - Sales Revenues

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). AT&T | T - Sales Revenues [Dataset]. https://tradingeconomics.com/t:us:sales
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 14, 2025
    Area covered
    United States
    Description

    AT&T reported $30.63B in Sales Revenues for its fiscal quarter ending in March of 2025. Data for AT&T | T - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  5. T

    AT&T | T - Ebit

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). AT&T | T - Ebit [Dataset]. https://tradingeconomics.com/t:us:ebit
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 14, 2025
    Area covered
    United States
    Description

    AT&T reported $6.35B in EBIT for its fiscal quarter ending in March of 2025. Data for AT&T | T - Ebit including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  6. f

    A comparison among several methods on AT&T Database.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Jian-Xun Mi; Jin-Xing Liu; Jiajun Wen (2023). A comparison among several methods on AT&T Database. [Dataset]. http://doi.org/10.1371/journal.pone.0042461.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jian-Xun Mi; Jin-Xing Liu; Jiajun Wen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The best results are listed.

  7. AT&T Network data

    • kaggle.com
    zip
    Updated May 26, 2018
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    MritunjayMohitesh (2018). AT&T Network data [Dataset]. https://www.kaggle.com/latentheat/att-network-data
    Explore at:
    zip(4257421 bytes)Available download formats
    Dataset updated
    May 26, 2018
    Authors
    MritunjayMohitesh
    Description

    Dataset

    This dataset was created by MritunjayMohitesh

    Contents

    It contains the following files:

  8. m

    AtT-20 cell line expression data

    • figshare.mq.edu.au
    • researchdata.edu.au
    xlsx
    Updated Nov 10, 2022
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    Marina Junqueira Santiago; Mark Connor (2022). AtT-20 cell line expression data [Dataset]. http://doi.org/10.25949/21529404.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 10, 2022
    Dataset provided by
    Macquarie University
    Authors
    Marina Junqueira Santiago; Mark Connor
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Results of transcript sequencing for AtT-20FlpIn cells. mRNA was isolated from AtT-20FlpIn cells using standard procedures, next generation sequencing was performed by Macrogen (https://dna.macrogen.com/). A report ourtlining the workflow and data analysis methods is available from the Authors by request.

    Deposited data is in an Excel file, which includes the gene symbol, transcript ID from the reference mouse genome, protein ID and transcript abundance. The AtT-20FlpIn cells were generated by Dr Santiago, and have been used as the 'wild type' cells for generating cell lines stably expressing GPCR and ion channels for most of the molecular pharmacology projects in the Molecular Pharmacodynamics group.

  9. AT&T Corporation Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, AT&T Corporation Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/registrar/10/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Jul 5, 2025 - Dec 31, 2025
    Description

    AT&T Corporation Whois Database, discover comprehensive ownership details, registration dates, and more for AT&T Corporation with Whois Data Center.

  10. b

    AT&T Overview

    • bullfincher.io
    Updated Jul 11, 2025
    + more versions
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    Bullfincher (2025). AT&T Overview [Dataset]. https://bullfincher.io/companies/att/overview
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    AT&T Inc. provides telecommunications, media, and technology services worldwide. Its Communications segment offers wireless voice and data communications services; and sells handsets, wireless data cards, wireless computing devices, and carrying cases and hands-free devices through its own company-owned stores, agents, and third-party retail stores. It also provides data, voice, security, cloud solutions, outsourcing, and managed and professional services, as well as customer premises equipment for multinational corporations, small and mid-sized businesses, governmental, and wholesale customers. In addition, this segment offers broadband fiber and legacy telephony voice communication services to residential customers. It markets its communications services and products under the AT&T, Cricket, AT&T PREPAID, and AT&T Fiber brand names. The company's Latin America segment provides wireless services in Mexico; and video services in Latin America. This segment markets its services and products under the AT&T and Unefon brand names. The company was formerly known as SBC Communications Inc. and changed its name to AT&T Inc. in 2005. AT&T Inc. was incorporated in 1983 and is headquartered in Dallas, Texas.

  11. Distribution of malicious data breaches 2019, by region

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Distribution of malicious data breaches 2019, by region [Dataset]. https://www.statista.com/statistics/256653/most-targeted-victim-countries-of-cyber-attacks/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    This statistic gives information on the most-targeted victim regions of malicious data breaches in 2019, ranked by share of total global cyber attacks. During the data collection period, it was found that ** percent of cyber attack incidents occurred in North America.

  12. T

    AT&T | T - Ebitda

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). AT&T | T - Ebitda [Dataset]. https://tradingeconomics.com/t:us:ebitda
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 14, 2025
    Area covered
    United States
    Description

    AT&T reported $11.53B in EBITDA for its fiscal quarter ending in March of 2025. Data for AT&T | T - Ebitda including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  13. T

    AT&T | T - Debt

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). AT&T | T - Debt [Dataset]. https://tradingeconomics.com/t:us:debt
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 14, 2025
    Area covered
    United States
    Description

    AT&T reported $126.16B in Debt for its fiscal quarter ending in March of 2025. Data for AT&T | T - Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  14. Mexico Fixed Internet Access: AT&T

    • ceicdata.com
    Updated Dec 15, 2022
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    CEICdata.com (2022). Mexico Fixed Internet Access: AT&T [Dataset]. https://www.ceicdata.com/en/mexico/number-of-fixed-internet-access-by-contract/fixed-internet-access-att
    Explore at:
    Dataset updated
    Dec 15, 2022
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 1, 2018 - Sep 1, 2019
    Area covered
    Mexico
    Description

    Mexico Fixed Internet Access: AT&T data was reported at 0.110 Unit mn in Sep 2019. This records a decrease from the previous number of 0.112 Unit mn for Aug 2019. Mexico Fixed Internet Access: AT&T data is updated monthly, averaging 0.127 Unit mn from Oct 2018 (Median) to Sep 2019, with 12 observations. The data reached an all-time high of 0.145 Unit mn in Oct 2018 and a record low of 0.110 Unit mn in Sep 2019. Mexico Fixed Internet Access: AT&T data remains active status in CEIC and is reported by Federal Telecommunications Institute. The data is categorized under Global Database’s Mexico – Table MX.TB014: Number of Fixed Internet Access: by Contract.

  15. AT&T Inc. historical data (T) - OPRA

    • databento.com
    csv, dbn, json
    Updated Apr 1, 2013
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    Databento (2013). AT&T Inc. historical data (T) - OPRA [Dataset]. https://databento.com/catalog/opra/OPRA.PILLAR/options/T
    Explore at:
    dbn, json, csvAvailable download formats
    Dataset updated
    Apr 1, 2013
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Mar 28, 2023 - Present
    Area covered
    United States
    Description

    Browse AT&T Inc. (T) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

    Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE). This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021. OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).

    Origin: Options Price Reporting Authority

    Supported data encodings: DBN, JSON, CSV Learn more

    Supported market data schemas: MBP-1, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, TBBO, Trades, Statistics, Definition Learn more

    Resolution: Immediate publication, nanosecond-resolution timestamps

  16. v

    VT Data - Drive Test ATT

    • geodata.vermont.gov
    • cloud.csiss.gmu.edu
    • +1more
    Updated Jan 6, 2020
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    Vermont Department of Public Service (2020). VT Data - Drive Test ATT [Dataset]. https://geodata.vermont.gov/datasets/vtpsd::vt-data-drive-test-att
    Explore at:
    Dataset updated
    Jan 6, 2020
    Dataset authored and provided by
    Vermont Department of Public Service
    Area covered
    Description

    This dataset contains mobile wireless download speed test results and areas where the PSD (Vermont Public Service Department) challenged mobile wireless service asserted by wireless carriers.DOWNLOAD SPEED TEST RESULTSResults from download speed tests that were conducted in September-December 2018 are contained by 6 point feature-classes, each with results for a particular carrier.PSD staff employed the android smartphone application G-NetTrack to conduct download speed tests at approximately 300 meter intervals along all federal-aid highways.The point feature-classes are very detailed and more suitable when zoomed into the neighborhood scale. All point feature-classes have the same field schema, which includes these fields: timestamp: Date and time at which the data point was collected. signal_str: Signal strength (RSRP in dBm). download_s: Download speed (in Mbps). latency: The round-trip time for a request to a website, in milliseconds.DRIVE-TEST BLOCKSDrive-test blocks (Utility_DriveTest_poly_Blocks) is a polygon feature-class that is composed of 1-kilometer blocks; it has a field for each of the 6 carriers; the fields show the average download speed recorded in each block for each carrier.The fields also include a composite field (All_) that contains averages of all carriers, masking variation in coverage between individual carriers. "999" indicates no test was conducted for the carrier in that block.Drive-test blocks are generalized information and are suitable when zoomed at various scales. A BLOCK DOES NOT INDICATE SERVICE THROUGHOUT A BLOCK; use the point feature-classes for detailed data and judge accordingly.WIRELESS CHALLENGE BLOCKSWireless Challenge Blocks (Utility_DriveTest_poly_VTMFCIIChallengeBlocks) depicts the status of each block in the submission of the PSD in the FCC Mobility Fund Phase II Challenge process. It shows challenges to mobile wireless service asserted by wireless carriersA value of 0 in the Area_1 field indicates that the challenge was rejected, either because a) the block is already largely eligible, or b) because no tests below 5 Mbps were submitted.DISCLAIMERVCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.

  17. f

    Att | Boxing Data | Sports Data

    • datastore.forage.ai
    Updated Sep 24, 2024
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    (2024). Att | Boxing Data | Sports Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Boxing%20Data
    Explore at:
    Dataset updated
    Sep 24, 2024
    Description

    Att is a renowned communication technology company that has been a pioneer in the field of telecommunications. Founded in 1885, the company has a rich history of innovation and has played a significant role in shaping the industry. With a legacy that spans over 135 years, Att has been at the forefront of bringing cutting-edge solutions to its customers.

    From its early days as a telegraph company to its current status as a leading provider of mobile and broadband services, Att has consistently demonstrated its commitment to delivering high-quality products and services to its customers. With its strong presence in the domestic and international markets, Att is a household name that is synonymous with excellence and reliability.

  18. AT&T's quarterly revenue in LatAm 2017-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 9, 2025
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    Statista (2025). AT&T's quarterly revenue in LatAm 2017-2023 [Dataset]. https://www.statista.com/statistics/816665/directv-revenue-latin-america/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    LAC
    Description

    In the fourth quarter of 2023, AT&T generated their first quarterly revenue above one billion U.S. dollars in Latin America since the fourth quarter of 2021. AT&T's Latin American business consists of *** segments: satellite pay-TV services offered by Vrio –which is present in various countries across the subcontinent– as well as mobile telephony services in Mexico.

  19. At&t digital life inc USA Import & Buyer Data

    • seair.co.in
    Updated Apr 2, 2019
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    Seair Exim (2019). At&t digital life inc USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 2, 2019
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  20. At&t services inc USA Import & Buyer Data

    • seair.co.in
    Updated Jan 11, 2018
    + more versions
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    Seair Exim (2018). At&t services inc USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 11, 2018
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Share
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Kasikrit Damkliang (2019). AT&T Database of Faces [Dataset]. https://www.kaggle.com/kasikrit/att-database-of-faces/code
Organization logo

AT&T Database of Faces

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Dec 17, 2019
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Kasikrit Damkliang
Description

The Database of Faces

Our Database of Faces, (formerly 'The ORL Database of Faces'), contains a set of face images taken between April 1992 and April 1994 at the lab. The database was used in the context of a face recognition project carried out in collaboration with the Speech, Vision and Robotics Group of the Cambridge University Engineering Department.

There are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). A preview image of the Database of Faces is available.

The files are in PGM format, and can conveniently be viewed on UNIX (TM) systems using the 'xv' program. The size of each image is 92x112 pixels, with 256 grey levels per pixel. The images are organised in 40 directories (one for each subject), which have names of the form sX, where X indicates the subject number (between 1 and 40). In each of these directories, there are ten different images of that subject, which have names of the form Y.pgm, where Y is the image number for that subject (between 1 and 10).

The database can be retrieved from http://www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/att_faces.tar.Z as a 4.5Mbyte compressed tar file or from http://www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/att_faces.zip as a ZIP file of similar size.

A convenient reference to the work using the database is the paper Parameterisation of a stochastic model for human face identification. Researchers in this field may also be interested in the author's PhD thesis, Face Recognition Using Hidden Markov Models, available from http://www.cl.cam.ac.uk/Research/DTG/attarchive/pub/data/fsamaria_thesis.ps.Z (~1.7 MB).

When using these images, please give credit to AT&T Laboratories Cambridge.

UNIX is a trademark of UNIX System Laboratories, Inc.

Contact information Copyright © 2002 AT&T Laboratories Cambridge

Credit: https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html

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