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U.S. Soldiers with 4th Battalion, 319th Airborne Field
U.S. Soldiers with 4th Battalion, 319th Airborne Field
U.S. Soldiers with 4th Battalion, 319th Airborne Field
U.S. Soldiers with 4th Battalion, 319th Airborne Field
U.S. Soldiers with 4th Battalion, 319th Airborne Field
U.S. Soldiers with 4th Battalion, 319th Airborne Field
U.S. Soldiers with 4th Battalion, 319th Airborne Field
U.S. Soldiers of 4th Battalion, 319th Airborne Field
U.S. Soldiers of 4th Battalion, 319th Airborne Field
U.S. Soldiers with 4th Battalion, 319th Airborne Field
Summary
U.S. Soldiers with 4th Battalion, 319th Airborne Field Artillery Regiment, 173rd Airborne Brigade honor newly promoted Maj. Gen. Christopher Cavoli with a gun salute during the change of command ceremony for the 7th Army Training Command at Grafenwoehr, Germany, July 15, 2016. Brig. Gen. Antonio Aguto assumed the leadership of the Army's largest overseas training command from Cavoli, who was appointed to the rank of major general during the ceremony and will move on to command the 25th Infantry Division in Hawaii.
(U.S. Army photo by Visual Information Specialist Markus Rauchenberger)
This image dataset is generated from the world's largest public domain image archive. Made in two steps (manually curated set, and following image recognition), it comprises of more than 100,000 images of military ceremonies from different countries and times. All media is in the public domain, so there is no limitation on the dataset usage - educational, scientific, or commercial. Please contact us if you need a dataset like this, we may already have it, or, we can make one for you, often in 24 hours or less.
A very large dataset of various big guns, howitzers, mortars, columbiads, all types of canon-like things - everything besides machine guns and rockets. This collection as well as all massive collections on Picryl.com required two steps: First, we picked a set to train AI vision to recognize cannon artillery, and after that, ran all 25M+ images in our database through our image recognition network. All media in the collection is in the public domain. There is no limitation on the dataset usage - educational, scientific, or commercial.