People Counter Top View

## Overview

People Counter Top View is a dataset for object detection tasks - it contains Person annotations for 200 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).

Top View People

## Overview

Top View People is a dataset for object detection tasks - it contains People annotations for 612 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 Ayeman Kamal

Contents

In 2024, over ** percent of young people in Poland agreed that their generation faces greater challenges than those faced by their parents' generation.

Human Detection Top View

## Overview

Human Detection Top View is a dataset for object detection tasks - it contains Person annotations for 3,829 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).

With the wide reach of the Internet across France, French public authorities have expressed their concern for the access of young generations to shocking images and content. Thus, the source had asked young people if they thought that the content should be further regulated. Most of them (** percent) stated that online offensive content should be regulated, of which, 66 percent absolutely agreed with the fact that it should be regulated in a stronger way.

Large-scale multi-view tracking dataset of 10,114 people captured in indoor and outdoor surveillance scenes. Includes diverse ages and genders.Each subject is annotated with human body bounding boxes, human body+riding object bounding boxes, and 21 human body attributes. This data can be used for human multi-view tracking, person re-identification (Re-ID), pedestrian analysis, and AI/computer vision model training.

Dataset

This dataset was created by Michael W. Kearney

Contents

The survey was conducted by Central Research Services on behalf of Japan's Prime Minister's office. A National sample of 16,739 adults were interviewed in January 1969. The survey was commissioned by the Prime Minister's office to seek opinions on living conditions and requests sent to the government.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31071960. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

Dataset

This dataset was created by Michael W. Kearney

Contents

Dataset

This dataset was created by Alexandra Higgins

Contents

In 2024, almost ** percent of young people in Poland agreed that it is a good custom for men to let women first through the door, while almost ** percent disagreed that men should not cry or show weakness.

Cyberspace is emerging as a critical living environment, significantly influencing sustainable human development. Internet public opinion is a crucial aspect of cyberspace governance, serving as the most important form of expressing popular will. However, perceiving public opinion can be challenging due to its complex and elusive nature. In this paper, we propose a novel framework for perceiving popular will, managing public opinion, and influencing people’s behavior, based on machine learning and game theory approaches. Our framework leverages deep learning techniques to analyze public opinion, active learning methods to reduce costs, and game theory to make optimal management decisions. We verify the effectiveness of our framework using empirical data collected from Chinese provinces Y and G, and provide theoretical support by analyzing the interrelationship between public opinion, online public opinion, and people’s behavior. Our framework can be applied inexpensively to studies in other regions, thereby offering valuable insights into cyberspace governance and public opinion management.

Small Object Aerial Person Detection Dataset:

The aerial dataset publication comprises a collection of frames captured from unmanned aerial vehicles (UAVs) during flights over the University of Cyprus campus and Civil Defense exercises. The dataset is primarily intended for people detection, with a focus on detecting small objects due to the top-view perspective of the images. The dataset includes annotations generated in popular formats such as YOLO, COCO, and VOC, making it highly versatile and accessible for a wide range of applications. Overall, this aerial dataset publication represents a valuable resource for researchers and practitioners working in the field of computer vision and machine learning, particularly those focused on people detection and related applications.

It is advised to further enhance the dataset so that random augmentations are probabilistically applied to each image prior to adding it to the batch for training. Specifically, there are a number of possible transformations such as geometric (rotations, translations, horizontal axis mirroring, cropping, and zooming), as well as image manipulations (illumination changes, color shifting, blurring, sharpening, and shadowing).

This OIG website contains a list of recently issued advisory opinions and a link to archives of previously issued advisory opinions. In accordance with section 1128D (b) (5) (A) (v) of the Social Security Act and 42 CFR 1008.47 of the Office of Inspector General's (OIG) regulations, advisory opinions issued by the OIG are made available to the general public through this OIG website. One purpose of the advisory opinion process is to provide meaningful advice on the application of the anti-kickback statute and other OIG sanction statutes in specific factual situations. Please note, however, that advisory opinions are binding and may legally be relied upon only by the requestor. Because each opinion will apply legal standards to a set of facts involving certain known persons who provide specific statements about key factual issues, no third parties are bound nor may they legally rely on these advisory opinions.

China Stock Market Public Opinion Analysis Data Set。It can be used to do some deep learning related projects。

Dataset

This dataset was created by sakshiag.191

Released under Database: Open Database, Contents: Database Contents

Contents

This resource provides information to states planning their NYTD Review on why and how a state should involve young people in their NYTD Review process. It discusses ways a state can support young people including providing resources, ideas on how to prepare them, debriefing, networking opportunities, and compensation ideas to incentivize participation. Metadata-only record linking to the original dataset. Open original dataset below.

DermaAI Human Review

## Overview

DermaAI  Human Review is a dataset for object detection tasks - it contains LES BKH INF PUS PAP annotations for 915 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).

Echo chambers are widely acknowledged as a feature of online discourse and current politics: a phenomenon arising when people selectively engage with like-minded others and are shielded from opposing ideas. Various studies have operationalized the concept through studying opinions, interactions, reinforcement or group identity. Echo chambers both feed and are fed by the false consensus effect, whereby people overestimate the degree to which others share their views, with algorithmic filtering of social media also a contributing factor. Although there is strong evidence that meta-opinions - that is, people’s perceptions of others’ opinions - often fail to reflect reality, no attempt has been made to explore the space of meta-opinions, or detect echo chambers within this space. We created a new, information-theoretic method for directly quantifying the information content of meta-opinions, allowing detailed exploratory analysis of their relationships with demographic factors and underlying opinions. In a gamified survey (presented as a quiz) of 476 UK respondents, we found both the liberal left, and also people at both extremes of the left/right scale, to have more accurate knowledge of others’ opinions. Surprisingly however, we found that meta-opinions, although displaying significant false consensus effects, were not divided into any strong clusters representative of echo chambers. We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.