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Feature. Tower - St. Ambroise at St. Henri BAnQ P48S1P11912
Lokstallarna omedelbart före påbörjandet av elektrifieringsarbetena.Loken är från vänster Statens Järnvägar, SJ Cd, A-tender i porten, Ke/Kh, B, A-tender i porten, Ke/Kh, B, Ga2 med nyligen ilagd Bgb-panna samt Kh-lok.
The Street railway journal (1906) (14575016837)
Bangården under ombyggnad, Stockholm Centralstation
Wharf Street looking north toward Pfeiffer Chemical Company at 500 North Commercial Street. Eads Bridge in the distance
Chesapeake & Ohio Railroad, Engine House, Along south end Thurmond, west of New River Bridge, Thurmond, Fayette County, WV
John A. Roebling's Sons Company, Kinkora Works, Wire Mill No. 1, Roebling, Burlington County, NJ
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Polis patrullerar vid den avspärrade kajen vid Stadsgården, 24 oktober 1939.
Olycksplatsen vid Vemmerlöv, taget åt polisen september 1941, 15534.
Olycksplatsen vid Vemmerlöv, taget åt polisen september 1941, 15534.
Örlogsfartyg - Pansarskeppet Sverige vid Stadsgårdskajen år 1934.
Flyttningen av "Brehall" vid Skattegården (Hässlet) oktober 1947.
Flyttningen av "Brehall" vid Skattegården (Hässlet) oktober 1947.
Tågolyckan vid Getå 1 oktober 1918.
Stockholm Telegrafverkets verkstad vid Svartens-gatan år 1903.
Medaljutdelningen vid Norsholm-Västervik-Hultsfreds Järnvägar den 25 november 1922.
Polis patrullerar vid den avspärrade kajen vid Stadsgården, 24 oktober 1939.
Zusammenfassung
Polis patrullerar vid den avspärrade kajen vid Stadsgården, 24 oktober 1939.
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.