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ocrd_eval: add alternative order metrics #247

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ocrd_eval: add alternative order metrics #247

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8 changes: 8 additions & 0 deletions ocrd_eval.md
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Expand Up @@ -374,6 +374,13 @@ The success measure is then given by

$s = \frac{1}{e * (1/e_{50}) + 1}$

Furthermore, in the special case where…
- the segmentation on both sides is identical (only order differs → no matching needed)
- order is always strictly monotonic (no unordered subgroups involved → no misclassification other than successor vs predecessor)

…[Quirós and Vidal 2022](https://ieeexplore.ieee.org/document/9413256) evaluate reading order simply as rank distance,
using the metrics _Normalized Spearman's footrule distance_ and _Kendall's Tau rank distance_.

##### mAP (mean Average Precision)

This score was originally devised for object detection in photo scenery (where overlaps are allowed and cannot conflict with text flow).
Expand Down Expand Up @@ -542,6 +549,7 @@ See [OCR-D workflow guide](https://ocr-d.de/en/workflows#evaluation).
* <https://www.o-bib.de/bib/article/view/5888/8845>
* Reading Order Evaluation:
* <https://www.primaresearch.org/www/assets/papers/ICDAR2013_Clausner_ReadingOrder.pdf>
* <https://ieeexplore.ieee.org/document/9413256>

* More background on evaluation of OCR
* <https://doi.org/10.1145/3476887.3476888>
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