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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Variational Object Recognition and Grouping Network
SBC: INTELLISENSE SYSTEMS INC Topic: NGA181005To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Blending Ground View and Overhead Models
SBC: Arete Associates Topic: NGA181008We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Improving Uncertainty Estimation with Neural Graphical Models
SBC: MAYACHITRA, INC. Topic: NGA181005Building interpretable, composable autonomous systems requires consideration of uncertainties in the decisions and detections theygenerate. Human analysts need accurate absolute measures of probability to determine how to interpret and use the sometimes noisy resultsof machine learning systems; and composable autonomous systems need to be able to propagate uncertainties so that later reasoningsyst ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Bayesian Urban Degradation Assessment
SBC: INTELLISENSE SYSTEMS INC Topic: NGA181004To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Low-Shot Detection in Remote Sensing Imagery
SBC: TOYON RESEARCH CORPORATION Topic: NGA181010The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction
SBC: TOYON RESEARCH CORPORATION Topic: NGA181004Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Generalized Change Detection to Cue Regions of Interest
SBC: TOYON RESEARCH CORPORATION Topic: NGA181006Toyon Research Corporation proposes to research and develop algorithms for generalized change detection, by leveraging and exploringexisting and proven effective traditional and deep learning methods, with a unique 3D reconstruction component. The vast majority of themassive amounts of imagery data will have small pixel level differences due to a multitude of unimportant changes: minor misregistra ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Development of Sustainable, Multi-Seasonal, Multi-Species, Marine Algal Aquaculture in Coastal Maine
SBC: Maine Fresh Sea Farms, LLC Topic: 81This Phase I proposal determines the feasibility of growing multiple species of macroalgae in commercial marine aquafarm environments. Marine aquaculture is a logical outgrowth of successful wild harvest seaweed businesses over the last several years. Developing a marine aquaculture prototype will foster the science of sea farming. Extending growing seasons for multi-species would provide year ...
SBIR Phase I 2014 Department of CommerceNational Oceanic and Atmospheric Administration -
120-X-2 Unmanned Aircraft System-Borne Atmospheric & Sea Surface Temperature (SST) Sensing
SBC: PIASECKI AIRCRAFT CORP Topic: 84To capture critical weather and SST data in the Tropical Cyclone Boundary Layer (TCBL), Piasecki Aircraft proposes to evaluate existing meteorological sensor packages, integrate new off-the-shelf MEMS sensors, and design an air-launched UAS to improve the resolution of observations captured in the TCBL. Capturing latent and sensible heat fluxes can be achieved reliably with a powered UAS (compare ...
SBIR Phase I 2014 Department of CommerceNational Oceanic and Atmospheric Administration -
Automated Analysis of Fisheries Information from Digital Stills
SBC: TOYON RESEARCH CORPORATION Topic: 82Toyon proposes development of a system which performs automated analysis of images for fish population monitoring and fishing regulation enforcement applications. The proposed system is capable of processing images collected from aircraft, including unmanned aerial vehicles, as well as images collected using boat-mounted or handheld cameras used to observe fish catches landed on the decks of vess ...
SBIR Phase I 2014 Department of CommerceNational Oceanic and Atmospheric Administration