Wessman - Barkens Järnväg, WBJ lok 1 "Wessman" на станции Marnäs, позже Ludvika.
Резюме
Railway stations in Sweden
Public domain image of steam locomotive, train, railways, railroad, Sweden, historical photograph, free to use, no copyright restrictions image - Picryl description
Стим, двигатели, локомотивы. В 1781 году Джеймс Уатт запатентовал паровой двигатель, который производил непрерывное вращательное движение. Двигатели Уатта мощностью в десять лошадиных сил позволяли приводить в движение широкий спектр производственных механизмов. Двигатели можно было просеивать везде, где можно было получить воду и уголь или древесное топливо. К 1883 году двигатели, которые могли обеспечить 10 000 лошадиных сил, стали слабыми. Паровой двигатель был одной из важнейших технологий промышленной революции.
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.
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.
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