YOLOv8 Datasets
Collection
This collection contains all our datasets for YOLOv8 Object detection trainings.
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datasets/Europeana/images/002fef19-3657-42e3-91aa-fb9cd7d1c03a.jpg |
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datasets/Europeana/images/e0485d77-6d40-4f10-b2f3-484e3c377333.jpg |
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datasets/Europeana/images/6b66ca79-b495-4e0b-aec7-d256cabbfee6.jpg |
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datasets/Europeana/images/c2b210b3-d253-46d8-bd58-6c34bd09a424.jpg |
datasets/Europeana/images/f23dc499-2ea1-442c-91a0-d65c80bf61e1.jpg |
datasets/Europeana/images/f967b7fb-df8e-4acd-aeae-8b5a2261f26d.jpg |
datasets/Europeana/images/314a583c-abb4-4fcd-94c2-ba2b33c5f9b8.jpg |
datasets/Europeana/images/381a8bd7-38ab-4fb0-9b39-9aaf1a5472b7.jpg |
datasets/Europeana/images/8734424b-b9b7-4a2d-9420-373c1a815250.jpg |
This dataset includes 100 images from the PELLET Casimir Marius story on Europeana. It is available in YOLOv8 format, to train a model to segment text lines and illustrations from page images.
The ground truth was generated using Teklia's open-source annotation interface Callico.
This work is marked with CC0 1.0. To view a copy of this license, visit https://creativecommons.org/publicdomain/zero/1.0/.