Opendata, web and dolomites

CV4RE SIGNED

Computer vision with an eye For Real Estate

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

Project "CV4RE" data sheet

The following table provides information about the project.

Coordinator
Mercurio Platform SL 

Organization address
address: CL DOCTOR AUGUET CANONGE 85 P3 PTA2
city: BARCELONA
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 https://restb.ai/
 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

 Partnership

Take a look of project's partnership.

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

Map

 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. Restb.ai 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. Restb.ai 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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