jbarrow/FFDNet-S
Object Detection • Updated • 2
Datasets:
id int64 0 14.9k | image_id int64 0 14.9k | image imagewidth (px) 1.68k 4.86k | file_name stringlengths 14 17 | width int64 1.68k 4.86k | height int64 1.68k 3.56k | objects dict |
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End of preview. Expand in Data Studio
CommonForms: A Large, Diverse Dataset for Form Field Detection
This repository hosts the CommonForms dataset, a web-scale dataset for form field detection, introduced in the paper CommonForms: A Large, Diverse Dataset for Form Field Detection.
CommonForms casts the problem of form field detection as object detection: given an image of a page, predict the location and type (Text Input, Choice Button, Signature) of form fields.
Key Features:
- Scale: Roughly 55,000 documents comprising over 450,000 pages.
- Source: Constructed by filtering Common Crawl to find PDFs with fillable elements.
- Diversity: Contains a diverse mixture of languages (one third non-English) and domains, with no single domain making up more than 25% of the dataset.
- Purpose: The first large-scale dataset released for form field detection, aimed at fostering the development of robust form field detectors.
Paper: CommonForms: A Large, Diverse Dataset for Form Field Detection Code: https://github.com/jbarrow/commonforms
- Downloads last month
- 1,062
Size of downloaded dataset files:
153 GB
Size of the auto-converted Parquet files:
153 GB
Number of rows:
486,954
Models trained or fine-tuned on jbarrow/CommonForms
