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This Solicitation opportunity from Maryland was posted on October 18, 2025. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

RFP #1184813 - Aerial Imagery Services

Closed
BPM053662State & Local

Contract Overview

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General Info

Agency

Maryland → Montgomery County Government

Place of Performance

MD, USA

Set-Aside

NONE

Documents

0

No documents available

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Timeline

PhaseClosed
Posted

Solicitation

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyMaryland → Montgomery County Government
Contacts1 person available
OfficeN/A
Organization / Agency
Maryland → Montgomery County Government
Office AddressN/A
Contacts
Sheronda BALTIMORE

Full Description

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This solicitation will be issued through BidNet's Maryland Purchasing Group (https://www.bidnetdirect.com/maryland/montgomerycounty). In the spirit of continuous improvement, Montgomery County utilizes this platform to post solicitations and accept electronic responses from vendors. Registration is required and FREE for all Montgomery County solicitations by selecting the "Limited" option upon registration. IF YOU NEED HELP REGISTERING, please call BidNet Direct’s Support Department at +1 (555) 000-0000.The intent of this RFP is to enter into one (1) contract with a single offeror (“Contractor”) to provide the County with aerial imagery services and related viewing and analysis software. Montgomery County will continue to utilize the latest aerial imagery collection and viewing technologies to enhance these and other workflows. In addition to traditional imagery uses, advances in GIS technologies have made (Artificial Intelligence) AI-driven deep learning models more widespread and accessible. These include object detection, pixel classification, and change detection tools. Many of these tools are available to the County’s GIS community. While setting several basic requirements for the County’s imagery program, this RFP will also evaluate respondents’ expertise with recent AI advancements and their influence on imagery needs and specifications. For example, the County recently used its ortho imagery catalog and deep learning tools to identify solar panel locations and assess progress on renewable energy goals. The County expects these types of applications to expand over time. We encourage respondents to share their knowledge of AI tools and imagery, and to discuss the importance of data formats, resolution, collection parameters (such as solar angle), and other considerations given the growth of AI and deep learning in imagery tools. Offeror’s knowledge regarding leveraging aerial imagery for AI and machine learning applications is considered in the evaluation criteria.

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