100+ datasets found
  1. R

    Advertisement Detection Dataset

    • universe.roboflow.com
    zip
    Updated Dec 11, 2023
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    Tharindu Chamoda (2023). Advertisement Detection Dataset [Dataset]. https://universe.roboflow.com/tharindu-chamoda-boega/advertisement-detection
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Tharindu Chamoda
    License

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

    Variables measured
    Object Polygons
    Description

    Advertisement Detection

    ## Overview
    
    Advertisement Detection is a dataset for instance segmentation tasks - it contains Object annotations for 501 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  2. d

    Outdoor Advertising Sign

    • catalog.data.gov
    • data.brla.gov
    Updated Jun 28, 2025
    + more versions
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    data.brla.gov (2025). Outdoor Advertising Sign [Dataset]. https://catalog.data.gov/dataset/outdoor-advertising-sign
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    data.brla.gov
    Description

    Point geometry with attributes for outdoor advertising signs in East Baton Rouge Parish, Louisiana.

  3. p

    HR Number of Job Applications Received per External Advertisement - Dataset...

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Jul 23, 2019
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    (2019). HR Number of Job Applications Received per External Advertisement - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/hr-number-of-job-applications-received-per-external-advertisement
    Explore at:
    Dataset updated
    Jul 23, 2019
    Description

    This data set is no longer maintained. You will find the new data here. See "External Job Postings and Applications Readme" File Statistics relating to the number of external job opportunities published on the City's Internet site and number of applications received from the public. The City of Toronto tracks its number of external job postings and job applications received and updated this information quarterly through Toronto's Progress Portal. A CSV file can be exported directly through Toronto's Progress Portal. The calculation for "Number of Job Applications Received per External Job Posting" is done by dividing the number of external job postings in a month by the number of applications received in that same month.

  4. R

    Advertisement Content Logo Dataset

    • universe.roboflow.com
    zip
    Updated Nov 9, 2023
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    Dataset (2023). Advertisement Content Logo Dataset [Dataset]. https://universe.roboflow.com/dataset-65qqn/advertisement-content-logo
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 9, 2023
    Dataset authored and provided by
    Dataset
    License

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

    Variables measured
    Billboard
    Description

    Advertisement Content Logo

    ## Overview
    
    Advertisement Content Logo is a dataset for classification tasks - it contains Billboard annotations for 1,567 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  5. advertisement_dataset

    • kaggle.com
    zip
    Updated Sep 14, 2020
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    JackNickson (2020). advertisement_dataset [Dataset]. https://www.kaggle.com/datasets/jacknickson/advertisement-dataset
    Explore at:
    zip(18449 bytes)Available download formats
    Dataset updated
    Sep 14, 2020
    Authors
    JackNickson
    Description

    Dataset

    This dataset was created by JackNickson

    Contents

  6. Divar advertisements dataset

    • data.niaid.nih.gov
    Updated Mar 10, 2021
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    Divar (2021). Divar advertisements dataset [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4558697
    Explore at:
    Dataset updated
    Mar 10, 2021
    Dataset authored and provided by
    Divarhttp://divar.ir/
    License

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

    Description

    In partnership with Divar, Phanous Research and Innovation Centre has published this dataset. For more information refer to Divar ads dataset in Phanous Research and Innovation Centre.

  7. D

    MVTec AD Dataset

    • datasetninja.com
    Updated Jun 20, 2019
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    Paul Bergmann; Kilian Batzner; Michael Fauser (2019). MVTec AD Dataset [Dataset]. https://datasetninja.com/mvtec-ad
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    Dataset updated
    Jun 20, 2019
    Dataset provided by
    Dataset Ninja
    Authors
    Paul Bergmann; Kilian Batzner; Michael Fauser
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    The authors of the MVTec AD: the MVTec Anomaly Detection dataset addressed the critical task of detecting anomalous structures within natural image data, a crucial aspect of computer vision applications. To facilitate the development of methods for unsupervised anomaly detection, they introduced the MVTec AD dataset, comprising 5354 high-resolution color images encompassing various object and texture categories. The dataset comprises both normal images, intended for training, and images with anomalies, designed for testing. These anomalies manifest in over 70 distinct types of defects, including scratches, dents, contaminations, and structural alterations. The authors also provided pixel-precise ground truth annotations for all anomalies.

  8. TV, social media, and website ads' impact on purchase in the U.S. 2024, by...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). TV, social media, and website ads' impact on purchase in the U.S. 2024, by generation [Dataset]. https://www.statista.com/statistics/1478602/tv-social-media-ads-consumer-product-purchases-united-states/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 30, 2024 - Sep 12, 2024
    Area covered
    United States
    Description

    As of September 2024, approximately ** percent of adults surveyed in the United States said they had seen or heard a social media advertisement that caused them to buy a product, while ** percent reported watching a TV commercial that led them to make a purchase. However, the shares varied depending on the interviewees' age group. Around ** percent of Gen Zers shopped after seeing a social ad, while ** percent of Gen Xers did so after watching a TV commercial.

  9. F

    Total Revenue for Advertising, Public Relations, and Related Services,...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
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    (2025). Total Revenue for Advertising, Public Relations, and Related Services, Establishments Subject to Federal Income Tax [Dataset]. https://fred.stlouisfed.org/series/REV5418TMSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Revenue for Advertising, Public Relations, and Related Services, Establishments Subject to Federal Income Tax (REV5418TMSA) from Q4 2003 to Q1 2025 about advertisement, public, revenue, establishments, tax, federal, services, income, and USA.

  10. m

    Outdoor Advertising- Outdoor Advertisement Signs

    • gis.data.mass.gov
    • geodot-homepage-massdot.hub.arcgis.com
    Updated Aug 9, 2021
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    Massachusetts geoDOT (2021). Outdoor Advertising- Outdoor Advertisement Signs [Dataset]. https://gis.data.mass.gov/datasets/MassDOT::outdoor-advertising-outdoor-advertisement-signs
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    Dataset updated
    Aug 9, 2021
    Dataset authored and provided by
    Massachusetts geoDOT
    Area covered
    Description

    This layer contains point location data for the outdoor advertising inventory in the Commonwealth of Massachusetts. The data is classified by advertising type: Digital advertisements, physical billboards and advertising facilities, and street furniture based advertising. There is an associated polygon layer of the 4 areas (3 municipalities and one neighborhood) designated advertising sign free zones is also included. These areas are: Concord, Lexington, Lincoln, and Charlestown. The link to this layer can be found here: Outdoor Advertising - Advertisement Free Zones

  11. a

    The influence of socio-economic status on perceived attractiveness of paid...

    • afrischolarrepository.net.ng
    Updated Aug 22, 2024
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    (2024). The influence of socio-economic status on perceived attractiveness of paid advertisement - Dataset - Afrischolar Discovery Initiative (ADI) [Dataset]. https://afrischolarrepository.net.ng/dataset/the-influence-of-socio-economic-status-on-perceived
    Explore at:
    Dataset updated
    Aug 22, 2024
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    Ibom Journal of Social Sciences

  12. R

    Brasileirão Pitch Ads Dataset

    • universe.roboflow.com
    zip
    Updated Apr 22, 2025
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    Menegat (2025). Brasileirão Pitch Ads Dataset [Dataset]. https://universe.roboflow.com/menegat/brasileirao-pitch-ads/model/7
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Menegat
    License

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

    Variables measured
    Football Pitch Ads Bounding Boxes
    Description

    Brasileirão Pitch Ads

    ## Overview
    
    Brasileirão Pitch Ads is a dataset for object detection tasks - it contains Football Pitch Ads annotations for 1,064 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  13. d

    Local Law 83 - City Agency Advertising Spend

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Mar 22, 2025
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    data.cityofnewyork.us (2025). Local Law 83 - City Agency Advertising Spend [Dataset]. https://catalog.data.gov/dataset/local-law-83-city-agency-advertising-spend-dfa81
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description

    Per Local Law 83 of 2021, the Mayor's Office of Ethnic and Community Media is required to report annually on each agency's full advertising spend across all media categories, including ethnic and community (ECM), mainstream, out-of-home, social media, etc. This dataset reflects the raw data that MOECM received from City Agencies on their annual advertising spend. For more information, please visit the MOECM website.

  14. P

    Real 3D-AD Dataset

    • paperswithcode.com
    Updated Feb 20, 2025
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    Jiaqi Liu; Guoyang Xie; Ruitao Chen; Xinpeng Li; Jinbao Wang; Yong liu; Chengjie Wang; Feng Zheng (2025). Real 3D-AD Dataset [Dataset]. https://paperswithcode.com/dataset/real-3d-ad
    Explore at:
    Dataset updated
    Feb 20, 2025
    Authors
    Jiaqi Liu; Guoyang Xie; Ruitao Chen; Xinpeng Li; Jinbao Wang; Yong liu; Chengjie Wang; Feng Zheng
    Description

    Real 3D-AD is the first point cloud anomaly detection dataset for industrial products. Real3D-AD comprises a total of 1,254 samples that are distributed across 12 distinct categories. These categories include Airplane, Car, Candybar, Chicken, Diamond, Duck, Fish, Gemstone, Seahorse, Shell, Starfish, and Toffees. Each training sample is an absence of blind spots, and a realistic, high-accuracy prototype.

  15. c

    PREVENT-AD registered data

    • portal.conp.ca
    • portal-dev.conp.ca
    Updated Nov 27, 2020
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    StoP-AD Center - Douglas Mental Health University Institute (2020). PREVENT-AD registered data [Dataset]. https://portal.conp.ca/dataset?id=projects/preventad-registered
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    Dataset updated
    Nov 27, 2020
    Dataset authored and provided by
    StoP-AD Center - Douglas Mental Health University Institute
    License

    https://registeredpreventad.loris.ca/images/PREVENT-AD_Terms_of_Use.pnghttps://registeredpreventad.loris.ca/images/PREVENT-AD_Terms_of_Use.png

    Description

    Longitudinal study of pre-symptomatic Alzheimer's Disease. Longitudinal data from 348 participants are available. This includes multi-modal MRI images, neuropsychological tests, neurosensory assessments, general medical history, genetics and cerebrospinal fluid proteins levels.

  16. R

    Mountain Dew Commercial Dataset

    • universe.roboflow.com
    zip
    Updated Feb 8, 2021
    + more versions
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    Joseph Nelson (2021). Mountain Dew Commercial Dataset [Dataset]. https://universe.roboflow.com/joseph-nelson/mountain-dew-commercial/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 8, 2021
    Dataset authored and provided by
    Joseph Nelson
    License

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

    Variables measured
    Bottles Bounding Boxes
    Description

    Overview

    Mountain Dew is running a $1,000,000 counting contest. Computer Vision can help you win.

    :fa-spacer:

    Watch our video explaining how to use this dataset.

    https://i.imgur.com/ED4jpM3.png" alt="Mountain Dew">

    During Super Bowl LV, Mountain Dew sponsored an ad that encourages viewers to count all unique occurrences of Mountain Dew bottles. You can watch the full ad here. The first person to tweet the exactly correct count at Mountain Dew is eligible to win $1 million (see rules here).

    Counting things is a perfect place for where computer vision can help.

    We uploaded the Mountain Dew video to Roboflow, created three images per each second of the commercial (91 images from ~30 seconds of commercial), and annotated all bottles we could see. This dataset is the result.

    We trained a model to recognize the Mountain Dew bottles, and then ran the original commercial back through this model. This helps identify Mountain Dew bottles that the human eye may have missed when completing counts.

    https://i.imgur.com/rjZCS2a.png" alt="Image example">

    Getting Started

    Click "Fork" in the upper right hand corner or download the raw annotations in your desired format.

    Note that while the images are property of PepsiCo, we are using them here as fair-use for educational purposes and have released the annotations under a Creative Commons license.

    About Roboflow

    Roboflow enables teams to use computer vision. :fa-spacer: Our end-to-end platform enables developers to collect, organize, annotate, train, deploy, and improve their computer vision models -- all without needing to hire a new ML engineering team. :fa-spacer:

    Roboflow Wordmark

  17. Archived - Advertising Expenditures by Major Campaign

    • open.canada.ca
    csv, html, xml
    Updated Apr 23, 2025
    + more versions
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    Public Services and Procurement Canada (2025). Archived - Advertising Expenditures by Major Campaign [Dataset]. https://open.canada.ca/data/en/dataset/b0b953b6-7a9c-4a3e-bed4-ce5b39b6a99a
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Public Services and Procurement Canadahttp://www.pwgsc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2015 - Mar 31, 2020
    Description

    This dataset provides information on advertising expenditures reported by Government of Canada (GC) institutions and major campaigns, from fiscal year 2015/2016 to fiscal year 2019/2020. The information is broken down by fiscal year, GC institution and campaign, also including a description of the campaign, production expenditures, media expenditures, as well as the media types and the creative agency used. For more information on the content of this dataset, consult the supporting documentation and data dictionary. Please find below the up to date datasets for advertising expenditures: - Advertising Expenditures by Institution (https://open.canada.ca/data/en/dataset/d2d94471-e34b-482d-a0e1-895a09e2a6d2) - Advertising Media expenditures associated with agency responsible for media planning and buying, the Agency of Record (AOR), for the Government of Canada (https://open.canada.ca/data/en/dataset/f9c132bc-4573-4bfd-bab5-3d242740bfea) For more information on GC advertising activities and expenditures, consult the Annual Reports on Government of Canada Advertising Activities: https://www.tpsgc-pwgsc.gc.ca/pub-adv/annuel-annual-eng.html#reports

  18. h

    Data from: audio-advertising

    • huggingface.co
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    HJayne, audio-advertising [Dataset]. https://huggingface.co/datasets/hjayne/audio-advertising
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    HJayne
    Description

    hjayne/audio-advertising dataset hosted on Hugging Face and contributed by the HF Datasets community

  19. Growth in internet advertisement expenditure in MENA 2010-2024

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Growth in internet advertisement expenditure in MENA 2010-2024 [Dataset]. https://www.statista.com/statistics/799894/mena-growth-in-internet-advertising-spending/
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    MENA
    Description

    In 2021, the growth in internet advertisement spend in the Middle East and North Africa was ** percent.

  20. d

    Illegal drug advertising data set

    • data.gov.tw
    csv, json, xml
    Updated Jul 4, 2025
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    Food and Drug Administration (2025). Illegal drug advertising data set [Dataset]. https://data.gov.tw/en/datasets/14196
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Food and Drug Administration
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This data set is extracted from the records of drug advertising handled by the health bureaus of various counties and cities. The displayed fields are limited to those open to the system. However, this data set may be subject to subsequent revisions and discretion, and does not necessarily mean that the products of the subject of the disposal are illegal. Please use caution when referring to it.

Share
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TwitterTwitter
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Click to copy link
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Tharindu Chamoda (2023). Advertisement Detection Dataset [Dataset]. https://universe.roboflow.com/tharindu-chamoda-boega/advertisement-detection

Advertisement Detection Dataset

advertisement-detection

advertisement-detection-dataset

Explore at:
zipAvailable download formats
Dataset updated
Dec 11, 2023
Dataset authored and provided by
Tharindu Chamoda
License

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

Variables measured
Object Polygons
Description

Advertisement Detection

## Overview

Advertisement Detection is a dataset for instance segmentation tasks - it contains Object annotations for 501 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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