IQA-Metric-Benchmark/data/task/cni/inference_out/crop/field_metrics.csv

1	field	tp	fp	fn	precision	recall	f1	accuracy
2	address	21	4	6	0.840000	0.777778	0.807692	0.777778
3	birth_date	35	3	4	0.921053	0.897436	0.909091	0.897436
4	birth_place	34	0	1	1.000000	0.971429	0.985507	0.971429
5	doc_number	33	2	3	0.942857	0.916667	0.929577	0.916667
6	document_type	43	4	5	0.914894	0.895833	0.905263	0.895833
7	expiry_date	31	3	5	0.911765	0.861111	0.885714	0.861111
8	gender	37	0	1	1.000000	0.973684	0.986667	0.973684
9	issue_date	26	3	5	0.896552	0.838710	0.866667	0.838710
10	issue_place	18	2	4	0.900000	0.818182	0.857143	0.818182
11	name	40	1	2	0.975610	0.952381	0.963855	0.952381
12	nationality	39	0	1	1.000000	0.975000	0.987342	0.975000
13	permit_type	1	0	0	1.000000	1.000000	1.000000	1.000000
14	personal_number	1	4	5	0.200000	0.166667	0.181818	0.166667
15	remarks	1	0	0	1.000000	1.000000	1.000000	1.000000
16	surname	39	2	3	0.951220	0.928571	0.939759	0.928571