Cctv People

## Overview

Cctv People is a dataset for object detection tasks - it contains People annotations for 700 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).

Search For People

## Overview

Search For People is a dataset for object detection tasks - it contains People annotations for 680 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).

Web Camera People Behavior Dataset for computer vision tasks

Dataset includes 2,300+ individuals, contributing to a total of 53,800+ videos and 9,300+ images captured via webcams. It is designed to study social interactions and behaviors in various remote meetings, including video calls, video conferencing, and online meetings. By leveraging this dataset, developers and researchers can enhance their understanding of human behavior in digital communication settings, contributing to… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/web-camera-people-behavior.

People data provides complete people information and gives the ability to link individual information to organizations and roles.

Cup People

## Overview

Cup People is a dataset for object detection tasks - it contains People Xq8w Cup annotations for 1,359 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).

1. Specifications Data size : 200,000 ID

Race distribution : Asians, Caucasians, black people

Gender distribution : gender balance

Age distribution : ranging from teenager to the elderly, the middle-aged and young people are the majorities

Collecting environment : including indoor and outdoor scenes

Data diversity : different shooting heights, different ages, different light conditions, different collecting environment, clothes in different seasons, multiple human poses

Device : cameras

Data format : the data format is .jpg/mp4, the annotation file format is .json, the camera parameter file format is .json, the point cloud file format is .pcd

Accuracy : based on the accuracy of the poses, the accuracy exceeds 97%;the accuracy of labels of gender, race, age, collecting environment and clothes are more than 97%

1. About Nexdata Nexdata owns off-the-shelf PB-level Large Language Model(LLM) Data, 1 million hours of Audio Data and 800TB of Annotated Imagery Data. These ready-to-go machine learning (ML) data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at hhttps://www.nexdata.ai/datasets/computervision?source=Datarade

wikipedia persons masked: A filtered version of the wikipedia dataset, with only pages of people

  Dataset Summary

Contains ~70k pages from wikipedia, each describing a person. For each page, the person described in the text is masked with a

  Supported Tasks and Leaderboards

The dataset supports the tasks of fill-mask, but can also be used for other tasks such as question answering, e.g. "Who is

  Languages

english only

  Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/rcds/wikipedia-persons-masked.

at night

People

## Overview

People is a dataset for object detection tasks - it contains People annotations for 13,778 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.

korexyz/unsplash-people-v3 dataset hosted on Hugging Face and contributed by the HF Datasets community

A synthetic dataset for visual fallen people detection comprising images extracted from the highly photo-realistic video game Grand Theft Auto V developed by Rockstar North. Each image is labeled by the game engine providing bounding boxes and statuses (fallen or non-fallen) of people present in the scene.
The dataset comprises 6,071 synthetic images depicting 7,456 fallen and 26,125 non-fallen pedestrian instances in various looks, camera positions, background scenes, lightning, and occlusion conditions.

Provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.

The City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol.

This dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations:

1 Public Life Study: provides details on the different studies that have been conducted, including project information. https://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp

2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites. https://data.seattle.gov/Transportation/Public-Life-Data-Locations/fg6z-cn3y

3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups. https://data.seattle.gov/Transportation/Public-Life-Data-People-Moving/7rx6-5pgd

4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.

5 Public Life Geography: A GeoJSON file with polygons of every location studied. https://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp

Please download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.

101 People - 4,538 Images Japanese Handwriting OCR Data. The text carrier is A4 paper. The dataset content includes social livelihood, entertainment, tour, sport, movie, composition and other fields. For annotation, character-level rectangular bounding box annotation and text transcription and line-level rectangular bounding box annotation and text transcription were adopted. The dataset can be used for tasks such as Japanese handwriting OCR.

The North America People Screening Market Report is Segmented by Technology (X-Ray Systems, Millimeter-Wave Scanners, and More), Deployment Mode (Fixed Checkpoint, Mobile Systems), Detection Method (Metallic, Non-Metallic, Identity Verification), End-User (Transportation, Government, Commercial, and More), and by Country. The Market Forecasts are Provided in Terms of Value (USD).

Data is included in the Guide to assist services with limited experience in working with refugee young people, and to support consistent and responsive services across Victoria. It was developed as a result of discussions amongst workers from public and community sector agencies who identified gaps in the provision of service delivery to refugee young people.

Provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups. ------------------------------------------ The City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol. This dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations: 1 Public Life Study: provides details on the different studies that have been conducted, including project information. https://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp 2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites. https://data.seattle.gov/Transportation/Public-Life-Data-Locations/fg6z-cn3y 3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups. 4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities. https://data.seattle.gov/Transportation/Public-Life-Data-People-Staying/5mzj-4rtf 5 Public Life Geography: A GeoJSON file with polygons of every location studied. https://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp Please download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.

Data set comprising interviews with a range of stakeholders including: care-based hairdressers, people with dementia, informal carers, care workers and other practitioners and key informants.This research will explore the role that hairdressing plays in the lives of older people who are high-level users of health and social care. This will include investigating the formal/paid services provided by hairdressers, and the styling and management of hair undertaken by care workers. There are four main aims to this research: to describe the experience of hairdressing and explore the significance it holds for older service users to describe the workplace experience of care-based hairdressers and care workers to scrutinise and document the constituent elements of hairdressing encounters to consider patterns of provision, access and affordability of hairdressing services to older service users. This ethnographic study will be conducted over three types of setting: care received at home, long-stay hospital care settings and care homes. It will include observations and filming in care-based salons as well as interviews with care workers, hairdressers and older service users. The findings will inform policy and practices in care and raise the profile of body-work that is fundamental to well-being and the avoidance of decline, depression and neglect. The study addresses an aspect of care settings that is little understood and for which no evidence-base currently exists

CCTV Person

## Overview

CCTV Person is a dataset for object detection tasks - it contains People Detect annotations for 2,964 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).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset tracks annual total students amount from 2003 to 2023 for People For People Charter School