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[Freight Cars, Warehouse, Texas & Pacific Railway Company]

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[Freight Cars, Warehouse, Texas & Pacific Railway Company]

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Title: [Freight Cars, Warehouse, Texas & Pacific Railway Company]..Creator: Robert Yarnall Richie ..Date: ca. 1946..Series: Series 6: Negatives and Color Transparencies ( ryr/searchterm/Series 6: Negatives and Color Transparencies/field/series/ ) ; Negative Series: 2869 ( ryr/searchterm/Negative Series: 2869/field/series/ ) ..Part of: Robert Yarnall Richie photograph collection ( ryr/searchterm/Robert Yarnall Richie photograph collection/field/part/ ) ..Place: Fort Worth, Tarrant County, Texas..Physical Description: 1 transparency: film, color; 2.6 x 3.8 cm..File: ag1982_0234_2869_K_1_texaspacificrailway_sm_opt.jpg.For more information and to view the image in high resolution, see: ( ryr/id/2774/ryr/id/2774 ) ..View the Robert Yarnall Richie Photograph Collection ( cul/ryr/ )

Robert Yarnall Richie (1908-1984) worked as a free-lance commercial and industrial photographer for many large corporations including those in the automobile, aviation, chemical, mining, petroleum, railroad, shipping, steel and other industries, both in the U.S. and overseas. The collection, held by Southern Methodist University's DeGolyer Library, contains corporate and industrial photographs made by Richie from 1932-1975. Southern Methodist University's Central University Libraries (CUL) Digital Collections includes the digital libraries and online digital collections from the six Central University Libraries. Our ongoing projects include the creation of digital collections of Mexican photographs, locomotives, Texas history, art, and currency notes, and more.

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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1946
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Southern Methodist University's Central University Libraries (CUL)
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