Similar
U.S. Army Sgt. 1st Class Ence Spann, a 1189th Transportation
A North Carolina Army National Guard Military Police member uses the radio while standing next to her M1114 Heavy High-Mobility Multipurpose Wheeled Vehicle (HMMWV) outside the old Kinston Armory, following Hurricane Bonnie
Pfc. Christopher Gray, motor transport operator, Company
Plane captain Aviation Machinist's Mate Airman Rodney Hunter, from Cleveland, Ohio, cleans the canopy and prepares an F/A-18F Super Hornet.
A U.S. Army National Guard Soldier assists a student
Tech. Sgt. Bryan Cronk from Tucson, Ariz., 146th Air
U.S. Army Spc. Thomas Tharp of Hampton, Ga., an intelligence
U.S. Army Spc. Madelyn, assigned to the 982nd Combat
Cpl. Daniel Cotulbea, 20th Infantry Battalion, Craiova,
Related
U.S. Soldiers from the 2nd Stryker Cavalry Regiment
U.S. Soldiers from the 2nd Stryker Cavalry Regiment
U.S. Soldiers from the 2nd Stryker Cavalry Regiment,
U.S. Soldiers from the 2nd Stryker Cavalry Regiment,
U.S. Soldiers from the 2nd Stryker Cavalry Regiment,
U.S. Soldiers from the 2nd Stryker Cavalry Regiment
U.S. Soldiers from the 2nd Stryker Cavalry Regiment,
U.S. Soldiers from the 2nd Stryker Cavalry Regiment,
U.S. Soldiers from the 2nd Stryker Cavalry Regiment
U.S. Soldiers from the 2nd Stryker Cavalry Regiment,
Summary
U.S. Soldiers from the 2nd Stryker Cavalry Regiment, Battle Group unload the equipment of the Railroad car that arrived at Orzysz, Poland, train station on March 23, 2017. The 2nd Stryker Cavalry Regiment, Battle Group is currently deployed to Orzysz, Poland for six months in support of NATO's Enhanced Forward Presence, an allied, forward deployed defense and deterrence posture in Eastern Europe to protect and reassure NATO's Eastern member states. (U.S. Army photo by Georgios Moumoulidis, Training Support Team Orzysz).
The train station image dataset is picked from the world's largest public domain archive. Made in two steps - first, curated set, followed by running 25 Million public domain images through image recognition, it comprises more than 50,000 train station images from all countries and times. All images are in the public domain, so there are no restrictions on the dataset usage - educational, scientific, and commercial.