Similar
Spc. Fred Roscoe, B. Company 4-17th Inf. Regt., holds
A soldier with the Republic of Georgia Army's 23rd
A U.S. Army paratrooper, right, assigned to the 173rd
Spc. Logan Lariscy, with the 375th Engineer Company,
U.S. Army Staff Sgt. Ryan Horval, cannon crew member,
A Philippine army soldier fires a 81mm rocket out of
Sgt. Darius Bennett of Bravo Battery, 4th Battalion,
Lance Cpl. Ryan S. Heffentrager, a field artillery
U.S. Marine Corps Cpl. Guillermo Pineda, field artillery
Related
A U.S. army soldier from Alpha Battery, Field Artillery
U.S. Army Pfc. Jose Abrego from Alpha Battery, Field
U.S. Army soldiers from Alpha Battery, Field Artillery
U.S. army soldiers from Alpha Battery, Field Artillery
A U.S. Army Soldier from Alpha Battery, 1st Battalion,
A U.S. Army Soldier from Alpha Battery, 1st Battalion,
U.S. Soldiers with Alpha Battery, Field Artillery Battalion,
U.S. Army Spc. Hiro Galindez from Alpha Battery, Field
U.S. Army Soldiers from Alpha Battery, 1st Battalion,
U.S. Army Pvt. Aaron Waterman from Alpha Battery, Field
Summary
U.S. Army Pvt. Aaron Waterman from Alpha Battery, Field Artillery Squadron, 2nd Cavalry Regiment looks into an M182 Collimator Infinity Aiming Reference during a decisive action training environment exercise Saber Junction 2012, in Amberg, Germany, Oct. 16, 2012. Saber Junction 2012, the U.S. Army Europe's premier training event, is a large-scale, joint, multinational, military exercise involving thousands of personnel from 19 different nations and hundreds of military aircrafts and vehicles. It is the largest exercise of its kind that the U.S. Army Europe has conducted in more than 20 years. (U.S. Army photo by Sgt. Evangelia Grigiss/Released)
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.