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form-field-v1-benchmark
The evaluation set behind the form-field-v1 form-field detectors and the
leaderboard — 5,914 form pages with
126,938 annotated fields (Text, Choice = checkbox/radio, Signature), across three variants:
| variant | images | fields | notes |
|---|---|---|---|
empty |
2,334 | 49,171 | blank forms |
filled |
1,826 | 39,797 | digitally-typed values |
handwritten |
1,754 | 37,970 | handwritten (ink) values |
A Nutrient dataset, released under CC-BY-4.0.
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Columns
image— the rendered page (RGB).page_id— stable id; ends in_empty/_filled/_handwritten.variant—empty|filled|handwritten.width,height— page pixel size.fields— list of{ "box": [x, y, w, h], "category": "Text"|"ChoiceButton"|"Signature" }(page pixels).source,license_class— provenance tags.
Scoring
Detectors are scored with COCO mAP50-95 (pycocotools, maxDets [1,100,1000]), reported overall and per
variant.
# pip install datasets pycocotools
python score_detector.py your_predictions.json
# predictions: [{"image_id": page_id, "category_id": 1|2|3, "score": s, "bbox": [x,y,w,h]}]
Reference numbers (mAP50-95) on this set — the form-field-v1 family: medium 0.529 / 0.783 / 0.764,
small 0.456 / 0.716 / 0.680, nano 0.353 / 0.560 / 0.526 (empty / filled / handwritten).
License
CC-BY-4.0. Attribute to Nutrient. Empty pages are real blank forms; filled and handwritten values are synthetic. No PII.
About the author
This project is maintained and funded by Nutrient - The deterministic document infrastructure enterprises run their highest-stakes workflows on: replayable output, clear exceptions, and full audit trails on the messy, regulated documents where AI alone breaks.
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