Auto Focus

## Overview

Auto Focus is a dataset for object detection tasks - it contains Objects annotations for 377 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).

FOCUS Reporting System FOCUSRPT is an enhanced reporting system used to create reports. Insight is a comprehensive, enterprise-wide data warehouse with advanced reporting and business intelligence capabilities.

Focus

## Overview

Focus is a dataset for object detection tasks - it contains Valid annotations for 379 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).

According to the Information Community for the Assessment of the Circulation of Media (IVW), Focus had an average annual paid circulation of roughly ******* copies in 2023. This was a slight decrease compared with the year before.

The Covid in Cartoons project engaged 15-18 year olds with political cartoons and cartoonists to foster processes of meaning-making in relation to the pandemic. Working with Cartooning for Peace and ShoutOut UK we engaged young people in building critical narratives of the crisis and its impact on their lives. We aimed to promote an inclusive, socially-responsive curriculum that supports young people's ability to cope in difficult circumstances. We used surveys, focus groups, and records of the participants' experiences in the form of workbooks to gather data. The project was led by Dr Fransiska Louwagie (PI) and Dr Diane Levine (Co-I), with postdoctoral associates Dr Kara Blackmore and Dr Sarah Weidman, and ran between January 2021 and July 2022. The Covid in Cartoons team carried out focus groups with participants using a 'call and response' approach. Anonymised transcripts can be found here.

During perinatal care, the four-chamber view ultrasound is a crucial imaging plane used in second-trimester screenings and fetal echocardiography, providing direct visualization of the fetal heart’s chambers. The biometrics in this plane, such as the cardiothoracic diameter ratio, is often measured for diagnosing congenital heart disease. However, manual measurement remains a time-consuming and labor-intensive task, and publicly accessible datasets are scarce, which limits the development and performance evaluation of machine learning algorithms. In this work, we therefore introduce FOCUS, a new dataset of four-chamber view ultrasound images to assist investigators in artificial intelligence. This dataset includes 300 images that have been manually annotated with cardiac and thoracic regions for fetal biometric estimation with the help of an expert sonographer. We hope this dataset can contribute to various research areas, particularly towards fetal diagnosing congenital heart disease. Furthermore, we report a series of deep learning experiments to demonstrate the potential utility of this dataset. As part of open science, the FOCUS dataset is made publicly available under the CC-BY 4.0 license.

FocusPath is a dataset compiled from diverse Whole Slide Image (WSI) scans in different focus (z-) levels. Images are naturally blurred by out-of-focus lens provided with GT scores of focus levels. The dataset can be used for No-Reference Focus Quality assessment of Digital Pathology/Microscopy images.

The U. S. Geological Survey- Water Resources Mission Area is currently developing Integrated Water Availability Assessments (IWAAs) — multi-extent (regional and national), stakeholder driven, near real-time water availability census and prediction for human and ecological uses. To provide appropriate user accessibility to data delivery systems developed for IWAAs, a user-centered design process including stakeholder focus groups was used with the objective of determining potential water data user needs and preferences. The metadata presented here contains the questions and answers associated with the stakeholder focus group series held from 08/04/2020 to 09/16/2020. The question set and prompts used during these focus groups were divided into the categories of decisions and data. Additionally, each focus group date has a dataset organized by a participant code, question type, and questions and answers according to decision type (decisions or data). Entries indicated as “participant did not answer question” indicates no response to the question, whereas entries indicated as “NA” indicates a response was given earlier and empty cells were filled out with the letters NA. Lastly, data analysis was presented as requirement statements indicating stakeholder data format and needs per each focus group date and location.

Data Collection and Data Analysis The focus groups lasted between 89 and 108 minutes (breaks not counted; G1: 1h 29 min, G2: 1h 48 min, G3:1h 43 min) and were transcribed verbatim. Processing and editing of the transcripts and the data analysis were done using MAXQDA Plus (VERBI Software, 2021). Since there was a clear and structured approach to investigate and explore barriers and facilitators of AM and SocPar of different individuals from different urban neighborhoods, the analysis was based on categories that were created from thematic analysis (categories are predetermined). Open, axial, and selective coding was applied to the transcripts to ensure systematic analysis and interpretation of the data that included the identification of patterns, issues, and relations between the different concepts and contexts: While investigating the transcripts, the memo function in MAXQDA was used to capture ideas and thoughts right in the manuscript to aid in the open, axial, and selective coding process. First, the transcribed data were compared and coded to categories that contained information regarding the research questions (open coding). Next, in an iterative process, possible connections, relations, and overlaps between the categories were investigated, to identify patterns or structures (axial coding). Last, the focus was once again on identifying and creating the main categories that contain the central aspects and key factors regarding the research questions (selective coding). Once all categories were created, definitions and concomitant exemplary quotes for each category were added to ensure transparency and reproducibility of the coding process (Kuckartz, 2016). The data analysis process was conducted by two researchers (LB, MK), who read and analyzed the interviews independently and discussed the findings (method of consent coding; Richards, & Hemphill, 2018). If necessary, a third researcher (CN) was included in this process for consultation, and to resolve any non-concordance. For better international understanding and consistency in terminology, all quotes that are important for this paper were translated from German to English using DeepL Pro (https://www.deepl.com) and then verified for accuracy by the authors.

This dataset tracks annual total students amount from 1995 to 2023 for Focus Beyond

leezythu/focus-data dataset hosted on Hugging Face and contributed by the HF Datasets community

EEG brain recordings of ADHD and non-ADHD individuals during gameplay of a brain controlled game

Focus Group Discussions falls under qualitative research. It serves to better understand local practices, perceptions, common attitudes, opinions or ideas. It involves gathering people from similar backgrounds or experiences together to discuss a specific topic of interest. It is a useful methodology to highlight aspects from the perspective of a specific social categories. However, participants might feel intimidated to express their opinions in front of other group members. Tags/ keywords: Method, group, discussion, dialogue, collectivity.

Working memory is the part of the cognitive system that holds the information we are currently thinking about. Thinking often involves the mental manipulation of one mental object while holding others in mind unchanged (e.g., mentally simulating moves in chess). Evidence points toward the existence of a focus of attention in working memory that selects one element at a time for processing. The project addresses the following questions about the nature of this focus

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The Bureau of Land Management (BLM) has prepared this Record of Decision (ROD) approving the Land Use Plan Amendment (LUPA) for the California Desert Conservation Area (CDCA) Plan and Bishop and Bakersfield Resource Management Plans (RMPs). The BLM also explains in this ROD the identification of the California Desert National Conservation Lands as discussed in the attached LUPA. The LUPA was prepared as part of the Desert Renewable Energy Conservation Plan (DRECP). The DRECP has been developed as an interagency plan by the BLM, the U.S. Fish and Wildlife Service (USFWS), the California Energy Commission (CEC), and the California Department of Fish and Wildlife (CDFW) (collectively “REAT Agencies”; Renewable Energy Action Team [REAT]) to (1) advance federal and state natural resource conservation goals and other federal land management goals; (2) meet the requirements of the federal Endangered Species Act (ESA), California Endangered Species Act (CESA), Natural Community Conservation Planning Act (NCCPA), and Federal Land Policy and Management Act (FLPMA); and (3) facilitate the timely and streamlined permitting of renewable energy projects, all in the Mojave and Colorado/Sonoran desert regions of Southern California. The complete ROD can be found on ePlanning at https://eplanning.blm.gov/public_projects/lup/66459/133460/163124/DRECP_BLM_LUPA_ROD.pdf

Comprehensive collection of financial reports and documents for Focus Entertainment (ALFOC)

This statistic displays where companies focus their diversity efforts in 2017 according to hiring decision makers worldwide. During the survey period, 48 percent of respondents stated that age and generational issues were included in their workplace diversity efforts.

The liabilities of Focus Universal with headquarters in the United States amounted to 885.09 thousand U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 96.37 thousand U.S. dollars. The trend from 2020 to 2024 shows, however, that this increase did not happen continuously.

From 2022 to March 2024, Focus Media, the largest out-of-home advertising company in China, continued to expand its offline reach. As of March 31, 2024, the company operated over *********** of elevator TVs and almost *********** elevator posters across *** cities.