iNaturalist is another good place to find photographs of biological organisms. You can easily filter for images with specified levels of copyright. This link will get you to a page with observations of genus Haliaeetus in the public domain (copyrights waived by the photographer under the CC0 designation):
In addition to simply searching sources like Google Images or Getty Images, the Global Biodiversity Information Facility (GBIF) has a gallery feature that allows you to search for images of an organism. Note that (1) images are user contributed, therefore the licensing is determined by the contributor, and (2) are not hosted by GBIF directly. Make sure ...
For optical astronomy, SDSS is where you should be looking at.
ESO has digitized sky surveys (DSS) from the pre-digital era.
I have worked with astronomers for around 9yrs helping them with data science and none of them use stuff from really old catalogs.
Hope this helps.
Check out Old Maps Online: https://www.oldmapsonline.org/. They have an interactive map of the world, which you can use to locate georeferenced historic maps.
They have many more old maps that are waiting to be georeferenced. Anyone can volunteer to help georeference them.
An organization can bulk-upload un-geoereferenced maps to their collection.
Once a ...
There is a dataset from IBM IoT that has corrosion images, but I don't know how extensive.
I also found this paper, which cites that the images where given from an industry partner. You might try to contact ...
Check out the ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction: https://rrc.cvc.uab.es/?ch=13
You have to make a free account and then you can access the dataset, approximately 1000 images of scanned receipts.
Even github enterprise has a 100 GB hard limit. I'd consider Amazon S3 as an alternative, especially because they price based on options for how often the data is accessed and also provides very granular user access facilities. There's a cost calculator
You could start with a benchmark using the MNIST dataset. There are many tutorials and articles written on training a CNN for digit recognition. You might also want to consider preprocessing your color-blindness charts input data (e.g. converting to grayscale, enhancing digit contrast).
The trick is to use str inside the contains.
This query gives the expected result:
select ?item ?img
hint:Query hint:maxParallel 400 .
hint:Query hint:chunkSize 8000 .
?item wdt:P18 ?img .
filter contains(str(?img), "Montage")
Another way to achieve this is to set hint:Query hint:regexMatchNonString true and then use a normal regex.
Too long for a comment, but not an answer:
Ask your lawyer. (Or don't, depending on how serious your project is. No one is going to sue you about a hobby web page showing some logos.) Most logos are copyrighted and the owner has not given permission for such use, but depending on what jurisdiction you operate in, there might be exceptions such as fair use that allow you to use them without permission....
The GFZ Potsdam, a large research institute in Germany, has several groups working on hyperspectral data.
This page http://www.enmap.org/flights.html lists a table with several datasets from Europe, acquired 2011-2014.
Most of the DOI links on that page lead to the library of GFZ Potsdam, which offers a data download service. However, for some reason most ...
One source for the US (2018 election) is
The first of its kind, this collection consists of every campaign logo from the 2018 election for United States Congress. The archive is a tool to explore trends and typologies that reveal themselves only when viewed in aggregate.
(they offer a bulk download on demand, and I'll ...
The entire framework is outlined here
LLD - Large Logo Dataset - including training dataset downloads
Training Generative Adversarial Networks (GANs) for logo synthesis on such multi-modal data is not straightforward and results in mode collapse for some state-of-the-art methods. We propose the use of synthetic labels obtained through clustering to ...