Teklia/pylaia-popp
Image-to-Text • Updated
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POPP - line level
Dataset Summary
The POPP dataset includes French civil census from Paris from the early 20th century.
Note that all images are resized to a fixed height of 128 pixels.
Languages
All the documents in the dataset are written in French.
Dataset Structure
Data Instances
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
'text': 'Joly Ernest 88 Indre M par Employé Roblot!18377'
}
Data Fields
image: a PIL.Image.Image object containing the image. Note that when accessing the image column (using dataset[0]["image"]), the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].text: the label transcription of the image.
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Homepage:
POPP
Source:
GitHub
Paper:
Recognition and Information Extraction in Historical Handwritten Tables: Toward Understanding Early 20th Century Paris Census
Point of Contact:
TEKLIA
Total file size:
299 MB
Models trained or fine-tuned on Teklia/POPP-line