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 Michael W. Kearney

Contents

According to a survey conducted on environmental issues in Japan in October 2020, amounting to *** answers, the majority of respondents stated that they thought that environmental issues were caused by activities of humans. Only a small amount of respondents mentioned that they did not think so.

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).

Dataset

This dataset was created by Michael W. Kearney

Contents

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.

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).

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).

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

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.

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.

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.

Dataset

This dataset was created by Alexandra Higgins

Contents

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.

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.

Dataset

This dataset was created by sakshiag.191

Released under Database: Open Database, Contents: Database Contents

Contents

Dataset

This dataset was created by Ayeman Kamal

Contents

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.

Swedish people 1955 is the first part of the first large-scale survey in Sweden attempting to give an objective picture of interests, personalities, opinions, habits and living conditions in Sweden. The second part was made in 1970 (Swedish people 1970). The Swedish Opinion-studies (1979-1985) repeat some of the questions from these studies. Questions about opinions of human behaviour, interests, attitude to alcohol, religion, possesions, social benefits, voting, Swedish conditions, work and trade unions, studies, personal conditions, children´s upbringing and education, parents, membership in different organizations and personal data.

In recent years, the frequent occurrence of food safety incidents has posed a serious threat to people’s lives and properties, and triggered heated discussions in the whole society. If the relevant departments shirk each other’s responsibilities or deceive the public in handling the incident, it will further lead to the generation of network public opinion, which will have an impact on the stability of the society and the credibility of the government. In order to study the generation of food safety network public opinion, this article takes the sudden “mouse head and duck neck” incident in a university in Jiangxi Province, China as an example, and combines text mining with grounded theory. Firstly, the LDA topic clustering model is used to identify six main concerns (topics) of the public during the public opinion period, and the topic words and words with high TF-IDF values under each topic is counted. Based on this, the grounded theory method is used for three-level coding, and then a network public opinion generation model is constructed. It was found that the four main categories of national subjects, public’s responses, value orientations, and news media play an important role in the generation process of network public opinion. These findings not only provide a reference for the governance of food safety public opinion in China, but also shed light on public opinion management in other countries, especially when responding to food safety incidents of general significance.