Opendata, web and dolomites


Computer vision with an eye For Real Estate

Total Cost €


EC-Contrib. €






 CV4RE project word cloud

Explore the words cloud of the CV4RE project. It provides you a very rough idea of what is the project "CV4RE" about.

137m    direct    visual    2024    88m    cv4re    paas    organize    platform    doubled    missing    gives    furnishing    clients    271b    digitally    living    realtech    image    logos    allocations    accessibility    savvy    risk    tagged    agents    online    venture    api    advantages    independent    monetize    innovative    ai    boost    easily    21b    listings    maximum    anonymity    offers    period    1200    processed    restb    recommend    corporations    search    buyers    charge    141    service    estate    seo    optimize    revolutionize    hardwood    renters    scans    automatically    adapt    photographs    images    internet    completely    scores    capital    267m    companies    customers    bypass    obsolete    vision    benefits    consumers    classify    16    rely    rising    business    tags    descriptions    identifies    2012    conversion    global    decision    returns    fireplace    rates    5m    shifts    computer    confidence    fee    worst    room    class    falling    obtaining    model    home    websites    realistic    99    portals    perceived    homes    scene    accuracy    physically    speed    compare    flat    site    describes    troublesome    floors    competitive    som    time    2016    tectonic    sam    thumbnails    manually    platforms    tam    crm   

Project "CV4RE" data sheet

The following table provides information about the project.

Mercurio Platform SL 

Organization address
postcode: 8840
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 1˙695˙653 €
 EC max contribution 1˙186˙957 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Mercurio Platform SL ES (BARCELONA) coordinator 1˙186˙957.00


 Project objective

Online real estate platforms are particularly at risk of falling behind the requirements of digitally savvy clients. Real estate portals rely on photographs of properties with manually tagged & often missing descriptions that make it troublesome for consumers to quickly research, compare & come to a decision about which properties they want to physically investigate. Online portals that do not adapt to the tectonic shifts in Consumer Attention risk internet anonymity at best &, at worst, of being perceived as so obsolete that buyers & renters completely bypass their websites. offers CV4RE, a computer vision API that scans real estate images and automatically returns, in real time, tags that classify the scene of the image (e.g. living room) and what features of interest are in this image (e.g. fireplace, hardwood floors). CV4RE identifies, tags, and describes properties, in the same way real estate agents would, obtaining very high confidence scores. Our Customers are online real estate portals, real estate CRM companies, independent real estate agents and home furnishing corporations. Our technology gives them the following benefits: Boost SEO, revolutionize site search, easily recommend similar homes, organize the images, enable visual comparison of listings, optimize thumbnails, improve conversion rates, improve site accessibility and monetize logos. Our competitive advantages are Real estate-specific tags, best-in-class accuracy (99%) and real time speed. The global capital allocations to direct real estate have doubled, rising from €141 B in 2012 to €271B in 2016. Over the same period venture capital funding into RealTech companies increased 1200% from €88M in 2012 to €2.21B in 2016 CV4RE has a TAM of €267M, SAM of €137M & SOM of €16.5M by 2024. has a realistic & innovative business model PaaS (Platform as a Service), where we charge a flat fee for a maximum of processed images per month.

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The information about "CV4RE" are provided by the European Opendata Portal: CORDIS opendata.

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