GIS & Mapping Virginia New Reviewed

Automated Vertical Obstruction Identification and Detection (AVOID)

SAM.gov

National Geospatial-Intelli...

Springfield, Virginia

Posted Aug 5, 2026
Due Aug 19, 2026
Machine Learning Computer Vision

About This Opportunity

The NGA is procuring automated vertical obstruction identification and detection capabilities under the AVOID program. The contractor must deliver comprehensive VO data using computer vision/machine learning detection and characterization technologies integrated with high-resolution imagery and elevation data.

This bid is 88% technology related

A strong match for technology vendors

Why we classified this as tech

Bid requires ML/computer vision for automated detection and characterization from imagery/elevation data to support geospatial intelligence workflows (explicit AI + GIS focus).

How to access this bid

Click View Original Source above to open the opportunity on SAM.gov

SAM.gov may redirect you to its homepage the first time — just click the link again and it will take you directly to the bid

Time Remaining

-- days
--
Hours
--
Minutes
--
Seconds

Deadline: Aug 19, 2026 at 5:00 PM ET

Always verify deadlines on the original source.

Is the original source link not working? Let us know so we can fix it.

Broken link reported

We use AI to analyze and classify bid information. Please verify details at the original source.