RED CROSS VEHICLE AT STATE DEPARTMENT

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RED CROSS VEHICLE AT STATE DEPARTMENT

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Summary

A black and white photo of a group of men standing in front of a bus, Library of Congress Harris and Ewing collection

Title from unverified caption data received with the Harris & Ewing Collection.
Date based on date of negatives in same range.
Gift; Harris & Ewing, Inc. 1955.
General information about the Harris & Ewing Collection is available at http://hdl.loc.gov/loc.pnp/pp.hec
Temp. note: Batch two.

The automobile was first invented and perfected in Germany and France in the late 1890s. Americans quickly came to dominate the automotive industry after WWI. Throughout this initial era, the development of automotive technology was rapid. Hundreds of small manufacturers competing to gain the world's attention. Key developments included the electric ignition system, independent suspension, and four-wheel brakes. Transmissions and throttle controls were widely adopted and safety glass also made its debut. Henry Ford perfected mass-production techniques, and Ford, General Motors, and Chrysler emerged as the “Big Three” auto companies by the 1920s. Car manufacturers received enormous orders from the military during World War II, and afterward automobile production in the United States, Europe, and Japan soared.

The Harris & Ewing, Inc. Collection of photographic negatives includes glass and film negatives taken by Harris & Ewing, Inc., which provide excellent coverage of Washington people, events, and architecture, during the period 1905-1945. Harris & Ewing, Inc., gave its collection of negatives to the Library in 1955. The Library retained about 50,000 news photographs and 20,000 studio portraits of notable people. Approximately 28,000 negatives have been processed and are available online. (About 42,000 negatives still need to be indexed.)

This collection is made of historic photographs of trucks that belong to the period before the end of World War I. Like every similar Picryl collection, this image set is made with aid of neural network image recognition. A manually picked dataset to train the machine was required first. Once trained, the AI made it possible to go through millions of images to find possible matches. Without this, extensive multi-sourced topical collections would be impossible to create. The image tagging process requires quality control to get rid of false-positive matches. Without human oversight, in this set, there would be false positive things on wheels such as carried artillery, horse carriages, and so on. GetArchive's goal is to deliver relevant results for every meaningful search request. Right now we collected 25 Million images to go through - please donate or subscribe to help us to accelerate this process!

date_range

Date

01/01/1916
place

Location

district of columbia
create

Source

Library of Congress
copyright

Copyright info

No known restrictions on publication. For more information, see Harris & Ewing Photographs - Rights and Restrictions Information http://www.loc.gov/rr/print/res/140_harr.html

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