Search Results for "dataset"

The CPQ Metrics & KPI Dictionary is a free, vendor-neutral reference for standardising how quote speed, approval efficiency, commercial control, quote quality and commercial outcomes are defined and measured. Version 1.0.0 contains 14 controlled metrics across four categories: Speed and flow, Approval efficiency, Commercial control, and Quality and outcome. Includes an Excel workbook, CSV and JSON dictionaries, JSON Schema, dashboard specification, data requirements, implementation...

The coronavirus package gives a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. Relevant and updated information about the virus, such as summary of new cases by country and total number of cases by region can be retrieved from this package. The raw data is pulled and arranged by the Johns Hopkins University Center for Systems Science and Engineering, which is gathered from various leading sources including the World Health Organization, China CDC, US CDC, European Centre for Disease Prevention and Control, and Australia Government Department of Health.

...Its data was widely used for dashboards, analysis pipelines, academic studies, public reporting, and pandemic tracking tools. Johns Hopkins stopped live global COVID-19 data reporting on March 10, 2023, so the repository now works mainly as a historical dataset. It remains valuable for studying pandemic trends, building reproducible analyses, and understanding how open data supported public health visibility during a global crisis.

...Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).

To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D.