Similar
Buss byggd av AB Svenska Järnvägsverkstäderna, ASJ.
Scania-Vabis. Kristianstad-Hässleholms Järnvägar, CHJ.
Statens Järnvägar, SJ 1098-T. Swedish Railways
Statens Järnvägar, SJ Buss 680-C.
Buss för Malmö spårvägar. Sverige. Public domain image.
Komplettering Peter Ödén. Statens Järnvägar, SJ Buss 1881 Scania-Vabis B 63 från 1950 med kaross från Svenska Karosseriverkstäderna i Katrineholm.
Trafikaktiebolaget Grängesberg - Oxelösunds Järnväg, TGOJ. Scania-Vabis buss vid busscentralen.
Related
Oplandske Auto, Hamar. Kolisjonskadet personbil. Ford V8 1937.
Oplandske Auto, Hamar. Kolisjonskadet personbil. Ford V8 1936.
Oplandske Auto, Hamar. Kolisjonskadet personbil. Ford V8 1936.
Опландское Авто. Легковой автомобиль. Хамар. Ford V8 1936 года.
Oplandske Auto. Buss. Iversens Bilcentrals rute og turbil, E-7360. Hamar. Ford V8 1935.
Опландское Авто. Автомобиль Д-4403, поврежденный в результате столкновения. Хамар. Ford V8 1937 года.
Oplandske Auto. Lastebil, Ford V8 1937. Hedmark Fylkes veivesen, D-6401. Hamar.
Oplandske Auto, Hamar. Varebil. Ford V8 1937 varebil, norskbygd karosseri på lett lastebilchassis.
Oplandske Auto. Kollisjonskadet personbil. D-510. Hamar. Ford V8 1936.
Oplandske Auto, Hamar. Buss. Rutebil. Ford V8 1937.
Резюме
Небольшая фотосерия (NNO) из архива Нормана, период 1934-1945 годов. (Фотографический архив 1906-1935 годов был потерян во время пожара в 1935 году.)
Commercial Auto Sales Catalogs
We at GetArchive are exploring new methods of image metadata augmentation and verification. Our goal is to make it possible to find images on any topic. In particular, we are trying to verify and fix historic periodization. This collection is made of historic photographs of automobiles that look as if they were taken in the 1940s. The collection is made with aid of a neural image recognition network dealing with the whole image composition rather than with the car model - some cars may be dated incorrectly. Although, while this method is surprisingly good for the purpose of dating and tagging, a certain percentage of images (less than 8%) may not represent automobile, but other vehicle type or visually similar object. Naturally, our next step should be creating numerous datasets for a particular car years&models, but as of September 2022, we found no use to justify the effort.
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