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Upload-Dataset (#1)
Browse files- Push dataset files (ec7f29368ff1c2dfae9f061ef8eb3e86dab0f418)
- Fix dataset card (24e79b5020efaa8f1e3c0afe1f93577ba65e9daf)
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- More details in YOLO model data file (50130f04809fbbde89b931511d71ad378b1ff4cd)
- Comment that it is a subset (43682cd9b787f79393f06afd6d8807b232dea4e3)
Co-authored-by: Yoann Schneider <yschneider@users.noreply.huggingface.co>
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- LICENSE +122 -0
- README.md +15 -3
- europeana_pellet-seg.yaml +18 -0
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LICENSE
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README.md
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---
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license: cc0-1.0
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---
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license: cc0-1.0
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task_categories:
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- image-segmentation
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pretty_name: PELLET Casimir Marius
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size_categories:
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- n<1K
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---
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# YOLOv8 Image segmentation dataset: PELLET Casimir Marius
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This dataset includes 100 images from the **PELLET Casimir Marius** story on [Europeana](https://europeana.transcribathon.eu/documents/story/?story=121795). It is available in YOLOv8 format, to train a model to segment text lines and illustrations from page images.
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The ground truth was generated using Teklia's open-source annotation interface [Callico](https://doc.callico.eu/).
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This work is marked with CC0 1.0. To view a copy of this license, visit https://creativecommons.org/publicdomain/zero/1.0/.
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europeana_pellet-seg.yaml
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---
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# Documentation: https://docs.ultralytics.com/datasets/segment/
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# Example usage: yolo segment train data=europeana_pellet-seg.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── Europeana-Pellet ← downloads here (5 MB)
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path: Europeana-Pellet
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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
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test: test.txt
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train: train.txt
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val: val.txt
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# Classes
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names:
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0: text_line
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1: illustration
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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Git LFS Details
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