Common Visual Data Foundation Inc Co Serge Belongie

Nonprofit profile at a glance

EIN
813042406
IRS 990-EZ coverage
2017–2024
Forms available
Form 990-EZ 2024
Location
New York, NY, USA
Phone
6466324948
Rating confidence
Limited
Sector
Engineering and Technology

Official website

Reported finances

Revenue
$0
Expenses
$6,210
Assets
$90,743

Source: IRS Form 990-EZ. Selected filing: tax year 2024. Amounts in USD.

Leadership & pay

9 people listed

Executive titles in this filing

  • Prof Serge Belongie PhD (President)
  • Dr Piotr Dollar PhD (Vice President)

People named in this filing

  • Prof Serge Belongie PhD (President)
  • Dr Piotr Dollar PhD (Vice President)
  • Tsung-Yi Lin (Secretary)

Selected names, not a complete roster or a statement of current roles. Open leadership details for the complete filed list.

Source: IRS Form 990-EZ. Selected filing: tax year 2024. Names and roles reflect this filing, not necessarily current officeholders.

Overview

Mission

The mission of Common Visual Data Foundation ("CVDF or the Foundation") is to enable open, community-driven research in the field of computer vision study by bringing together leading academic researchers at universities and other research partners for scientific and technological advancement for the benefit of the public interest.

What it reported doing in 2024

CVDF works to advance scientific research and provide educational resources in the field of computer vision research through the development of academic datasets and corresponding research competitions. The availability of high-quality labeled data is essential for enabling and evaluating state-of-the-art academic research. The research competitions sponsored by the Foundation help the computer vision research community gain insight into the progress of the field and help identify remaining challenges. In addition to the academic datasets and research competitions hosted by the Foundation, the tools used in their creation are open-sourced and made freely available to the public on a non-discriminatory basis in order to aid data related research across the computer vision research community.

Operating model

Revenue model
Cannot be determined from the filing. The filing does not provide enough consistent revenue detail to tell how this nonprofit funds its work.
Distribution model
Direct operator. The filing allocates 100% of reported program-service expenses outside its grant, affiliate-payment, and member-benefit lines. This expense classification does not rule out separately announced grant awards.

The verdict

- The available evidence is not sufficient to produce an overall rating for this filing. This is not a warning sign.

Rating breakdown

  • Financial Efficiency: 17
  • Transparency & Controls: 82
  • Sustainability: 34
  • Growth: 20

Detailed rating inputs

Financial Efficiency

  • Mission deployment rate: Limited
  • Program expense ratio: 45.9%; rating input score 46

Transparency & Controls

  • Consistency checks: 100%; rating input score 100; 52nd percentile among comparable filings
  • Major donor itemization: Limited

Sustainability

  • Operating margin: Limited
  • Total-asset coverage ratio: 14.61; rating input score 94; 94th percentile among comparable filings
  • Liabilities to assets ratio: Limited
  • Officer compensation ratio: 0%; rating input score 56; 56th percentile among comparable filings

Growth

  • Program expense growth: -40.2% per year; rating input score 0; 10th percentile among comparable filings
  • Revenue growth: -34.9% per year; rating input score 0; 9th percentile among comparable filings
  • Asset growth: 21.8% per year; rating input score 100; 87th percentile among comparable filings

Details

  • Where the money goes: 45.9% of spending went to programs
  • Governance: Filed governance answers
  • Accomplishments: 1 filed program accomplishment · $3K in reported program spending
  • Leadership: top reported pay $0 · 9 people listed
  • Consistency: 6 of 6 current checks pass
  • Schedules: 2 filed schedules
  • Filing history: 8 filing years from 2017 to 2024
  • Contacts: How to reach this organization
  • Grant readiness: Federal tax and exclusion status, award history, and grant-maker relationships.
  • People: Everyone the filings name, and which of them the filings identify by more than a name.

Key Signals

Signals prioritize questions for review. They are not findings of misconduct.

  • Moderate — Financial Efficiency: Program expense ratio scored 46/100.
  • High — Growth: Program expense growth scored 0/100.
  • High — Growth: Revenue growth scored 0/100.
  • Review — Sustainability: Officer compensation ratio scored 56/100.