deep-book-catalogue

[silky]

from linkedin

it's at least plausible.

[silky]

https://github.com/uchidalab/book-dataset

[silky]

https://github.com/adamjeanlaurent/Book-Recommender

[silky]

https://github.com/cs-chan/Total-Text-Dataset

[silky]

https://paperswithcode.com/task/text-spotting

[silky]

https://github.com/aim-uofa/AdelaiDet

[silky]

https://arxiv.org/pdf/2003.06999.pdf

[silky]

https://arxiv.org/pdf/2003.06800.pdf

[silky]

scene text - https://arxiv.org/pdf/2003.08077.pdf

[silky]

https://github.com/fengxinjie/Transformer-OCR

[Porges]

There used to be a website where you could take photos of your bookshelf and it would give you discounted ebook rates: https://www.theverge.com/2017/4/9/15235686/kobo-acquired-shelfie-app-readers-discounted-ebooks

2016 homepage snapshot: https://web.archive.org/web/20160121102743/http://www.shelfie.com/

[silky]

@Porges interesting; thanks for that, makes sense someone would've done this already.

[gacafe]

best idea is to cross reference the books on the image with your "want to read" in goodreads, support local bookshops and find the books you have been wanting to read.

On Fri, 20 Mar 2020 at 10:22, Noon van der Silk notifications@github.com wrote:

@Porges https://github.com/Porges interesting; thanks for that, makes sense someone would've done this already.

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