FAS Catalog Platform - Image Recognition for Product Photos
General Services Administration
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not reported
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Procurement and Financial Management
- Operational functions
- Image and video analysis Derived by keyword rules; see methodology
Problem the AI is intended to solve
The AI is intended to solve the problem of poor quality or inaccurate product photos on the FAS Catalog Platform, which negatively impacts the buying experience for government purchasers and potentially sales for vendors. Currently, manual review of these images is impractical due to the large volume of products, leading to many substandard images remaining on GSA Advantage. By automating the assessment of image quality and accuracy, the AI aims to streamline the review process and improve the overall visual quality of product listings.
Expected benefits
Not reported
System outputs
Not reported
Technology
- AI classification
- Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
- System name(s)
- Not reported
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported