Hard Hat Worker Safety Equipments

## Overview

Hard Hat Worker Safety Equipments is a dataset for object detection tasks - it contains Hard Hat Workers annotations for 2,613 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Overview

The Hard Hat dataset is an object detection dataset of workers in workplace settings that require a hard hat. Annotations also include examples of just "person" and "head," for when an individual may be present without a hard hart.

Example Image: https://i.imgur.com/7spoIJT.png" alt="Example Image">

Use Cases

One could use this dataset to, for example, build a classifier of workers that are abiding safety code within a workplace versus those that may not be. It is also a good general dataset for practice.

Using this Dataset

Use the fork button to copy this dataset to your own Roboflow account and export it with new preprocessing settings (perhaps resized for your model's desired format or converted to grayscale), or additional augmentations to make your model generalize better. This particular dataset would be very well suited for Roboflow's new advanced Bounding Box Only Augmentations.

About Roboflow

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Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.

Provides an aggregate of data for the Office of the Actuary and the Office of Research, Evaluation and Statistics.

This paper examines how employer- and worker-specific productivity shocks transmit to earnings and employment in an economy with search frictions and firm commitment. We develop an equilibrium search model with worker and firm shocks and characterize the optimal contract offered by competing firms to attract and retain workers. In equilibrium, risk-neutral firms provide only partial insurance against shocks to risk-averse workers and offer contingent contracts, where payments are backloaded in good times and frontloaded in bad times. We prove that there exists a unique spot target wage, which serves as an attraction point for smooth wage adjustments. The structural model is estimated on matched employer-employee data from Sweden. The estimates indicate that firms absorb persistent worker and firm shocks, with respective passthrough values of 26% and 10%. Permanent worker differences, however, are a big contributor (31%) to variations in wages. A large share of the earnings growth variance can be attributed to job mobility, which interacts with productivity shocks. We evaluate the effects of redistributive policies and find that almost one third of government-provided insurance is undone by crowding out firm-provided insurance.

Proportion of the establishment's permanent full-time equivalent workers that are permanent workers. Permanent full-time equivalent workers account for full-time permanent, full-time temporary workers (adjusted by the duration of their employment), and part-time permanent workers (adjusted by the duration of their employment)

Mexico Employment: Insured Workers: Permanent: Utilities data was reported at 105,673.000 Person in Mar 2019. This records a decrease from the previous number of 105,913.000 Person for Feb 2019. Mexico Employment: Insured Workers: Permanent: Utilities data is updated monthly, averaging 120,261.000 Person from Jan 1996 (Median) to Mar 2019, with 279 observations. The data reached an all-time high of 144,003.000 Person in Jul 2009 and a record low of 98,814.000 Person in Dec 2009. Mexico Employment: Insured Workers: Permanent: Utilities data remains active status in CEIC and is reported by Secretary of Labor and Social Security. The data is categorized under Global Database’s Mexico – Table MX.G071: Insured Workers.

In 2022, around 71 percent of employees working remotely worldwide stated that their company was planning to permanently allow some amount of remote work, while only about eight percent of respondents reported the opposite.

In 2023, the number of active permanent and contract construction workers in Indonesia was estimated at approximately **** million. This indicated a slight increase in comparison to the previous year.

In financial year 2022, 17.4 percent of Wilmar International Limited employees in China were on a permanent contract, compared to 64.5 percent in Southeast Asia. Wilmar International Limited is an integrated agribusiness company that incorporates all value chain related to agricultural activities to give more value to its products.

Mexico Employment: Insured Workers: Permanent: Tlaxcala data was reported at 78,209.000 Person in Mar 2019. This records an increase from the previous number of 77,829.000 Person for Feb 2019. Mexico Employment: Insured Workers: Permanent: Tlaxcala data is updated monthly, averaging 63,892.000 Person from Jan 1997 (Median) to Mar 2019, with 267 observations. The data reached an all-time high of 78,209.000 Person in Mar 2019 and a record low of 52,463.000 Person in Jan 1997. Mexico Employment: Insured Workers: Permanent: Tlaxcala data remains active status in CEIC and is reported by Secretary of Labor and Social Security. The data is categorized under Global Database’s Mexico – Table MX.G071: Insured Workers.

This dataset breaks down the number of active contract workers on December 31 of each year by community (municipality, department, and for 2018 only, city of Paris), by mode of exercise of part-time activity ( part-time quota), by hierarchical category, by gender, by year.

The social report of the Parisian community provides, each year, quantitative but also qualitative information on the human resources of the City of Paris. It traces the evolution of the main indicators relating to human resources policy, whether it concerns staff numbers, remuneration, health and safety, careers and training or even working conditions and social relations.

In anticipation, the “Bilan Social” datasets have integrated the merger of communities relating to ordinance n°2018-74 from 2018. The City of Paris code therefore replaces the Commune < codes from 2018 /em>and Departmentfrom the Community column.

This dataset complements the Social Report - Working time of non-permanent permanent staff.

Mexico Employment: Insured Workers: Permanent: Durango data was reported at 221,815.000 Person in Mar 2019. This records an increase from the previous number of 221,538.000 Person for Feb 2019. Mexico Employment: Insured Workers: Permanent: Durango data is updated monthly, averaging 162,045.000 Person from Jan 1997 (Median) to Mar 2019, with 267 observations. The data reached an all-time high of 222,421.000 Person in May 2018 and a record low of 138,360.000 Person in Jan 1997. Mexico Employment: Insured Workers: Permanent: Durango data remains active status in CEIC and is reported by Secretary of Labor and Social Security. The data is categorized under Global Database’s Mexico – Table MX.G071: Insured Workers.

The aim of the study was to compare and analyse differences in work conditions and health between workers in permanent and temporary employment. The study group was a representative stratified sample from the working Swedish population (n=3812).

With dynamic imbalances caused by both software and ever more complex hardware, applications and runtime systems must adapt to dynamic load imbalances. We present a diffusion-based, reactive, fully asynchronous, and decentralized dynamic load balancer for a distributed actor library. With the asynchronous execution model, features such as remote procedure calls, and support for serialization of arbitrary types, UPC++ is especially feasible for the implementation of the actor model. While providing a substantial speedup for small to medium size jobs with both predictable and unpredictable workload imbalances, the scalability of the diffusion-based approaches remains below expectations in most presented test cases.

Actor-UPCXX is a high-performance computing library based on the actor model to enable the use of the actor model for HPC simulations. The source code can be found at: https://github.com/TUM-I5/Actor-UPCXX

Hard Hat Workers Dataset

## Overview

Hard Hat Workers Dataset is a dataset for object detection tasks - it contains Hard Hat annotations for 7,035 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).

ObjectivesThe aim of this scoping review is to explore the international evidence to identify the potential costs and gains of the development of a career pathway for Health Support Worker’s (HSW’s), the economic gains and benefits connected with continual professional development (CPD) and value for money.MethodsScoping review following JBI methodology was conducted of peer-reviewed international literature using structured searches of electronic databases and grey literature (September 2013–November 2023) applying economic methodological terms to capture economic evidence and perspectives on the issues.ResultsSeventeen papers were critically appraised and during the process of data extraction four key themes emerged: 1) Cost-benefits of employment and training 2) Organisational economic perspectives 3) Service economic perspectives and 4) Sector economic perspectives. This scoping review revealed a scarcity of economic evidence contributing to critical educational approaches, costs and benefits in development of career pathways for HSWs.ConclusionLimited evidence was available on benefits of specific training programmes, and considerable gaps in the evidence to inform future investment. Recommendation is that future research should incorporate economic theory within evaluations to inform policy and practice.

This data set breaks down the active workforce of contract workers as of December 31 of each year by local authority (municipality, department, and for 2018 only, city of Paris), by mode of working time (full-time and time), by hierarchical category, by sex, by year.

The social report of the Parisian community provides, each year, quantitative but also qualitative information on human resources of the City of Paris. It traces the development of the main indicators relating to the human resources policy, whether in terms of staffing, remuneration, health and safety, careers and training or even working conditions and social relations.

In anticipation, the "Social Report" datasets have integrated the merger of local authorities relating to the ordinance n°2018-74 from 2018. The code City of Paris therefore replaces from the year 2018 the codes Commune< /em>and Department of the Community column.

This dataset is supplemented by Social Report - Working time of part-time permanent non-tenured staff.

Measures the number of weeks it takes for an establishment in the manufacturing sector to formally terminate a permanent, full-time worker after providing them with written notice. This includes all pre-dismissal procedures, notifications, and waiting periods.

Measures the number of weeks it takes for an establishment in the services sector to formally terminate a permanent, full-time worker after providing them with written notice. This includes all pre-dismissal procedures, notifications, and waiting periods.

This data set breaks down the active workforce of contract workers as of December 31 of each year by community (municipality, department, and for 2018 only, city of Paris), by mode of exercise of the part-time activity ( part-time quota), by hierarchical category, by sex, by year.

The social report of the Parisian community provides, each year, quantitative but also qualitative information on the human resources of the City of Paris. It traces the development of the main indicators relating to the human resources policy, whether in terms of staffing, remuneration, health and safety, careers and training or even working conditions and social relations.

In anticipation, the "Social Report" datasets have integrated the merger of local authorities relating to the ordinance n°2018-74 from 2018. The code City of Paris therefore replaces from the year 2018 the codes Commune < /em>and Department of the Community column.

This dataset complements the Social Report - Working time of permanent non-tenured staff.