keremberke/yolov8m-table-extraction
Object Detection
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Updated
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14k
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30
Datasets:
Tasks:
Object Detection
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image_id
int64 0
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imagewidth (px) 749
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int32 749
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End of preview. Expand
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Dataset Labels
['bordered', 'borderless']
Number of Images
{'test': 34, 'train': 238, 'valid': 70}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/table-extraction", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/table-extraction-pdf/dataset/2
Citation
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.com on January 18, 2023 at 9:41 AM GMT
Roboflow is an end-to-end computer vision platform that helps you
- collaborate with your team on computer vision projects
- collect & organize images
- understand and search unstructured image data
- annotate, and create datasets
- export, train, and deploy computer vision models
- use active learning to improve your dataset over time
For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
The dataset includes 342 images. Data-table are annotated in COCO format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
No image augmentation techniques were applied.
- Downloads last month
- 337
Size of downloaded dataset files:
38.2 MB
Size of the auto-converted Parquet files:
42.5 MB
Number of rows:
351