SBIR/STTR Research Award

Clarifai proposal - Synthetic Data for Computer Vision

Award identifier 0a717facc2fc7620dfdea37b540856bb0f7991d05ded0bcee2986e5d22f76855Awarding agency Department of Defense · National Geospatial-Intelligence Agency

Award amount

$99,550

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
National Geospatial-Intelligence Agency
Recipient company
CLARIFAI, INC.
Proposal award date
2020-10-02
Contract end date
2021-07-04
UEI
LEDKTXJMC9D7
Solicitation number
00.1
Topic code
NGA201-001

Research abstract

One of the most pressing problems at the forefront of machine learning and computer vision research is image recognition when high quality labeled data is difficult to acquire, typically due to the prohibitive cost of data acquisition and annotation. Clarifai has teamed with L3Harris to combine their unparalleled experience in simulating geospatial sensors with our award-winning computer vision capabilities.  The work proposed here is proving the ability of simulated data to train computer vision algorithms, and also using the insights from these algorithms to improve the parameters that are used in the simulated data. Working directly with the simulation team will enable us to establish a strong baseline of performance for using simulated data during training, which will be used to evaluate performance as we expand our studies to domain adaptation and the use of generative models to enhance simulated data and generate data as well. \n\n   \n\n Clarifai is the industry's leading independent artificial intelligence company headquartered in New York City with offices in San Francisco and Washington D.C.  Founded in 2013 by Dr. Matthew Zeiler, a foremost expert in machine learning, Clarifai has been a market leader since winning the top five places in the image classification challenge at the ImageNet 2013 competition. Clarifai provides powerful AI and Machine Learning (ML) image and video recognition solutions, built on the most advanced machine learning platform, empowering businesses all over the world to build the next generation of intelligent applications. Our team provides image and video recognition solutions to the Department of Defense, Intelligence Community, and commercial customers like West Elm, Trivago, and Opentable. In November 2019, Clarifai was named a visionary leader in The Forrester New Wave: Computer Vision Platforms, Q4 2019 report. Also, in November 2019, Clarifai was ranked 71th Fastest Growing Company in North America on Deloitte’s 2019 Technology Fast 500. \n\n   \n\n L3Harris has a long history as the gold standard in sensor modeling of remote sensing systems. With over 40 years of sensor modeling experience for commercial and government customers, our team has extensive breadth and depth of available sensor modeling expertise. Our capabilities have endured the test of time as system after system has been modeled and the simulations validated once the systems became operational.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

10 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $5,462,743. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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