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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
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Federal AI Intelligence · U.S. Government AI Observatory

Federal AI landscape: executive briefing

Filtered: stage = unknown; function = image_analysis

Generated 2026-10-12 09:28 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: stage = unknown; function = image_analysis · 13 records

Key findings

  • 13 use-case records from 1 agencies: 0 deployed (0%), 0 pilots, 0 in development or acquisition, 0 retired, 13 with no stage reported.
  • 0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
  • Sourcing is reported for 0% of use cases. Where reported, n/a involve in-house development.
  • 13 use cases (100%) have no reported development stage.

Lifecycle

StageRecordsShare
Not reported13100%

AI technology

ClassificationRecordsShareDeployed
Not reported13100%0

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
DOC · Department of Commerce13000%

High-impact designation

DesignationRecords
Not reported13

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000000
AI impact assessment0000000
Independent review0000000
Ongoing monitoring0000000
Operator training0000000
Fail-safe0000000
Appeal process0000000
User and public consultation0000000

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

  • Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
  • A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
  • Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
  • The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
  • This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

All 13 records.

RecordAgency IDAgencyUse caseStage
R2932DOC-48DOCDetecting rip currents with coastal imageryNot reported
R2945DOC-87DOCAutomated Post-Disaster Vessel and Debris Mapping from Remotely Sensed ImageryNot reported
R2948DOC-91DOCIce seal detection and species classification in multispectral aerial imageryNot reported
R2968DOC-112DOCIntegrating AI into AUV image analysis workflowNot reported
R2970DOC-114DOCUsing CoralNet to develop subtrate detection models for AUV imageryNot reported
R2975DOC-119DOCVIAME: Video and Image Analysis for the Marine Environment SoftwareToolkitNot reported
R2979DOC-123DOCAdvancing the use of technology for port sampling in the US Caribbean using image analysis for length compositionNot reported
R2987DOC-131DOCAutomation and detection of Marine Mammals and Turtles from AUV collected imagery.Not reported
R2990DOC-134DOCUsing community-sourced underwater photography and image recognition software to study green sea turtle distribution and ecology in southern CaliforniaNot reported
R2991DOC-135DOCSearching for large whales in UAS photographic strip transect images: developing an AI/ML object detection model using aerial photogrammetry cataloguesNot reported
R3009DOC-151DOCThe Next Generation Fire System (NGFS): Automated human expert-like detection of fires in satellite imageryNot reported
R3043DOC-185DOCImproving Imagery Visualization using Limb-Correction and AI Resolution Enhancement for Microwave sensorsNot reported
R3044DOC-186DOCSuper-resolution of Satellite Imagery Products using Generative AINot reported

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory