The result was keep. New sources presented that were uncontested; no consensus to delete this article (non-admin closure) Aszx5000 (talk) 00:46, 18 June 2023 (UTC)[reply]
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completely unnotable wiki. sourced to itself, poor quality sources, and trivial mentions. lettherebedarklight晚安 07:41, 10 June 2023 (UTC)[reply]
Source assessment table: | ||||
Source | Independent? | Reliable? | Significant coverage? | Count source toward GNG? |
---|---|---|---|---|
ref 1 | ![]() |
![]() |
? moot | ✘ No |
ref 2 | ![]() |
![]() |
? moot | ✘ No |
ref 3 | ![]() |
? moot | ![]() |
✘ No |
ref 4 | ![]() |
? moot | ? moot | ✘ No |
ref 5 | ![]() |
? moot | ? moot | ✘ No |
ref 6 | ![]() |
![]() |
![]() To train their algorithm, researchers used the more than 80, 000 images from WikiArt.org, one of the largest online collections of digital art.the rest is explaining the technology using wikiart's database. it's just mentioned as a database! |
✘ No |
ref 7 | ![]() |
![]() |
![]() The other network is the “discriminator” network, which is trained on 81,500 images from the WikiArt database, spanning centuries of painting.that's it. |
✘ No |
ref 8 | ![]() |
? | ![]() For the training, they used 81,449 paintings by 1,119 artists in the publicly available WikiArt data set.nothing so far is significant coverage. |
✘ No |
ref 9 | ![]() |
? | ![]() |
✘ No |
ref 10 | ![]() |
? | ![]() |
✘ No |
ref 11 | ![]() |
![]() |
![]() The team collected a set of 15,000 portraits from online art encyclopedia WikiArt, spanning the 14th to the 19th century, and fed them into the GAN algorithm. |
✘ No |
ref 12 | ![]() |
![]() |
![]() To start, Cetinic and her colleagues analyzed more than 100,000 images from WikiArt.that's it. |
✘ No |
ref 13 | ![]() |
? | ![]() |
✘ No |
This table may not be a final or consensus view; it may summarize developing consensus, or reflect assessments of a single editor. Created using {{source assess table}}. |