Similar
Lockefield Garden Apartments, 900 Indiana Avenue, Indianapolis, Marion County, IN
Shaker North Family (General Views), Shaker Road, New Lebanon, Columbia County, NY
Kv. Bryggaren, Bryggeri Victoria från Parkgatan mot norr.
Fort Sam Houston, San Antonio Depot, Water-Watch Tower, Grayson Street & New Braunfels Avenue, San Antonio, Bexar County, TX
A black and white photo of a snow covered town. Great Depression FFSA / OWI Negatives
Farm. Montgomery County, Maryland
Wooden Bridge at No. Billerica from street at south side, with coal team, J. Murphy driving
A group of people standing on top of a snow covered slope. Great Depression FFSA / OWI Negatives
Wilson Village ^1, View of - NARA - 280065
Related
Ärla järnvägsstation från luften.
Train station Ärla station från spårsidan. - Public domain photograph.
Flen järnvägsstation från gatusidan.
Arbrå järnvägsstation från gatusidan.
Arvika järnvägsstation från gatusidan.
Arvika järnvägsstation från gatusidan.
Järnvägsstation med tåg från Nynäshamn på ingång.
Nässjö järnvägsstation från gatusidan.
Ärla järnvägsstation. - Södermanland Sverige
Ärla järnvägsstation från luften.
Summary
Railway stations in Sweden
Public domain photograph - Sweden in late 19th - early 20th centuries, free to use, no copyright restrictions image - Picryl description
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.
Set of images depicting various harbors, ports, and piers together with ships, fishing and sailing boats, and all types of haven-like places and views. All large image sets on Picryl.com are made in two steps: First, we picked a set to train AI vision to recognize the feature, and after that, we ran all 25M+ images in our database through an image recognition machine. As usual, all media in the collection belong to the public domain. There is no limitation on the dataset usage - educational, scientific, or commercial.