Trolleholm station. Helsingborg - Hässleholms Järnväg, HHJ lok 22 "Röstånga", före detta Klippan-Röstånga Järnväg, KRJ lok 2 "Röstånga", på ingående.
Summary
Trolleholm station. Helsingborg - Hässleholms Järnväg, HHJ lok 22 "Röstånga", före detta Klippan-Röstånga Järnväg, KRJ lok 2 "Röstånga", på ingående.
The lantern slides first produced for the 17th century's “magic lantern” devices. The magic lantern, also known by its Latin name Lanterna Magica, an image projector that used pictures on transparent plates (usually made of glass), one or more lenses, and a light source, used for entertainment. The earliest slides for magic lanterns consisted of hand-painted images on glass, made to amuse their audiences. After the invention of photography, lantern slides began to be produced photographically as black-and-white positive images, created with the wet collodion or a dry gelatine process. Photographic slides were made from a base piece of glass, with the emulsion (photo) on it, then a matte over that, and then a top piece of a cover glass. Sometimes, colors have been added by hand, tinting the images. Lantern slides created a new way to view photography: the projection of the magic lantern allowed for a large audience. Photographic lantern slides reached the peak of their popularity during the first third of the 20th century impacting the development of animation as well as visual-based education.
This image dataset is generated from our world's largest public domain image database. Made in two steps (manual, and image recognition), it comprises of more than 35,000 images of all types and sizes - an astonishing number if keep in mind that the total number of steam locomotives ever built was just one order of magnitude larger. All images are in the public domain, so there is no limitation on the dataset usage - educational, scientific, or commercial. Please contact us if you need a dataset like this, we may already have it, or, we can make one for you, often in 24 hours or less.
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.
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