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).

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

This data set is no longer maintained.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.

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).

Dataset

This dataset was created by JackNickson

Contents

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.

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.

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.

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.

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

Ibom Journal of Social Sciences

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).

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.

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.

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.

Overview

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

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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:

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

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

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

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.