2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors – Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).

This repository contains the dataset used in the paper Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning. Code: https://github.com/jefferyZhan/Griffon

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.

Vision-1 provides very high resolution optical products, with 87cm resolution in Panchromatic mode and 3.48m in Multispectral Mode. Products are in DIMAP format; the image is in GeoTiff format with 16 bit encoding; the applied geographical projection is WGS84 UTM. Spectral band combination options: Panchromatic (PAN): includes data contained within a single high resolution black and white band, with product pixel size of 0.87m Multispectral (MS4): includes four multispectral (colour) bands: Blue, Green, Red and Near Infrared. The product pixel size is 3.48m Bundle (BUN): provides both the 4-band multispectral, and the panchromatic data from the same acquisition in a single, non-merged product. Data is provided as 16-bit GeoTiffs with pixel sizes of 3.48m and 0.87m for MS and PAN data respectively Pansharpened (PSH): single higher resolution 0.87 colour product obtained by the combination of the visual coloured information of the multispectral data with the details provided in the panchromatic data. Two different geometric processing levels are: Projected (level 2): The product is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. By default, the map projection system is WGS84/UTM. The image is georeferenced without the application of a Digital Elevation Model (DEM) and supplied with the RPC model file. Pansharpened are not available as projected product Standard Ortho (level 3): georeferenced image in Earth geometry, including the application of a Airbus World DEM for Ortho and GCPs (using Airbus Intelligence One Atlas BaseMap as reference). The orthorectification procedure eliminates the perspective effect on the ground (excluding buildings) to restore the geometry of a vertical shot. Only the basic radiometric processing is available providing the radiance value. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.

This list has data of about 3000+ companies specializing in computer vision from Enterprises and Startups to Studios. The information includes:

Location Company Name Linkedin profiles of key people Company Name No of employees Company Name LinkedIn profile Company Name List of key people Company Name Fund raised

This list is suitable for:

Agencies & service providers Pitch your services whether it be marketing, design or web development services.

Freelancers & developers Up your job hunting, contract work and gig opportunities search.

Product companies Companies with a product or service for computer vision companies.

Staffing and recruiting agencies Companies with a product or service for computer vision companies.

This paper documents the findings of the March 12-14, 2001 Workshop on New Visions for Large-Scale Networks: Research and Applications. The workshops objectives were to develop a vision for the future of networking 10 to 20 years out and to identify needed Federal networking research to enable that vision...

This dataset includes the raw data of a survey of 38 stakeholders in the region of the Sierra de Guadarrama National Park, Spain (2019). The "Dataset" sheet presents respondents' Likert-scale answers (ranging from 1 to 5) of agreement regarding values, perceived changes and perceived drivers of change of the national park landscapes. The complete methodology is described in: Lo, V.B., López-Rodríguez, M.D., Metzger, M., Oteros-Rozas, E., Cebrián-Piqueras, M. A., Ruiz-Mallén, I., March, H., Raymond, C.M. (in press) ‘How stable are visions for protected area management? Stakeholder perspectives before and during a pandemic.’ People and Nature. Accompanying supplementary data (interview script, tiles and canvasses, coding, follow-up survey questions) are available as supplementary information to this article available for open access on the People and Nature website.

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.

Computer vision is one of the fastest growing industries at the moment and there are a lot of opportunites associated with this industry. Whether you run a development shop, staffing agency or sales/marketing related business this list will help you find opportunities with computer vision companies.

.VISION Whois Database, discover comprehensive ownership details, registration dates, and more for .VISION TLD with Whois Data Center.

Mission statement, Vision and Core Values of the OIG. Includes links to the OIG FY 2015 Action Plan, OIG Status Report on NAPA Recommendations, 2012 and the OIG Organizational Assessment, National Academy of Public Administration (NAPA), 2009

AutoTrain Dataset for project: vision-tcg

  Dataset Description

This dataset has been automatically processed by AutoTrain for project vision-tcg.

  Languages

The BCP-47 code for the dataset's language is unk.

  Dataset Structure





  Data Instances

A sample from this dataset looks as follows: [ { "image": "<600x825 RGB PIL image>", "target": 0, "feat_Unnamed: 2": null, "feat_Unnamed: 3": null }, { "image": "<600x825 RGB PIL… See the full description on the dataset page: https://huggingface.co/datasets/micazevedo/autotrain-data-vision-tcg.

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.

Vision Based Building Energy Data Outlier Detection

## Overview

Vision Based Building Energy Data Outlier Detection is a dataset for object detection tasks - it contains 11785 annotations for 2,159 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).

2016-2019. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Children’s Health Insurance Program (CHIP) fee for service and managed care plans. Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available. Prevalence estimates are stratified by all available combinations of age group, gender, and state. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.

1849208 Global exporters importers export import shipment records of Vision with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The Department of Defense Health Agency’s (DHA) Vision Center of Excellence (VCE) analyzed data from the MHS MART database on behalf of the VEHSS project. MHS MART is a data management and reporting system used to support decision-making, health care analysis, and operational reporting. MART integrates various sources within MHS to provide a centralized repository for health care data, facilitating access to information that aids in managing health care services, resources, and performance across MHS. Data are based on claims and encounter records in the MHS Management Analysis and Reporting Tool (MART) database. The population includes all active-duty and retired military members and their dependents in the MHS. The sample size is approximately 9.08 million persons. These data are also available in the VEHSS Data Explorer, an interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html

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.

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision USA includes consumer transaction data on 100M+ credit and debit cards, including 35M+ with activity in the past 12 months and 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants, 800+ parent companies, 80+ same store sales metrics, and deep demographic and geographic breakouts. Review data by ticker in our Investor Relations module. Brick & mortar and ecommerce direct-to-consumer sales are recorded on transaction date and purchase data is available for most companies as early as 6 days post-swipe.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

Private equity and venture capital firms can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights teams and retailers can gain visibility into transaction data’s potential for competitive analysis, shopper behavior, and market intelligence.

CE Vision Benefits • Discover new competitors • Compare sales, average ticket & transactions across competition • Evaluate demographic and geographic drivers of growth • Assess customer loyalty • Explore granularity by geos • Benchmark market share vs. competition • Analyze business performance with advanced cross-cut queries

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Use Case: Private Equity, Growth and Venture

Problem A $35B Private Equity company focused on growth & venture, credit, and public equity investing in later-stage companies was looking for a data solution to enable them to source and vet the health of potential investments vs. their peers and their industry. With limited visibility, they were seeking a data solution that would seamlessly and easily provide concrete data and analytics for their assessments.

Solution The firm leveraged Consumer Edge's Vision Pro platform and alternative dataset to monitor and report weekly on: • Sourcing: With the support of Consumer Edge’s Insight team, the firm set up dashboard views to find and track the struggling firms that are open to capital needs. • Diligence: The firm vetted the health of a potential investment target vs. their peers and their industry by monitoring key metrics such as YoY growth, spend amount % growth, transactions, and of transactions % growth. Impact The diligence team was able to: • Identify three target acquisition companies based on historic performance • Set benchmarks vs. competition and monitor growth trends • Develop growth plans for post-acquisition strategy

Data that that populates the Vision Zero View map, which can be found at www.nycvzv.info Vision Zero is the City's goal for ending traffic deaths and injuries. The Vision Zero action plan can be found at http://www.nyc.gov/html/visionzero/pdf/nyc-vision-zero-action-plan.pdf Crash data is obtained from the Traffic Accident Management System (TAMS), which is maintained by the New York City Police Department (NYPD). Only crashes with valid geographic information are mapped. All midblock crashes are mapped to the nearest intersection. Injuries and fatalities are grouped by intersection and summarized by month and year. This data is queried and aggregated on a monthly basis and is current as of the query date. Current year data is January to the end of the latest full month. All mappable crash data is represented on the simplified NYC street model. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point. Injury and fatality crashes occurring on highways are excluded from this data. Please note that this data is preliminary and may contain errors, accordingly, the data on this site is for informational purposes only. Although all attempts to provide the most accurate information are made, errors may be present and any person who relies upon this data does so at their own risk.