[Sansan Data Analysis Challenge] Business card field labeling

In this competition, you are asked to predict the filed type of a given part of a business card image. There are nine candidates of the filed types: company name, full name, job title, address, phone number, fax number, mobile phone number, email address, and website URL. Each part image can correspond to multiple filed types.

The dataset for this competition is provided by Sansan, Inc.The business card images for this competition are fictitious. No identification with actual persons and organizations is intended or should be inferred.

Problem type
Classification
Evaluation metric
Area under the ROC curve (AUC)
Competition status
Active
Started
2017/05/12 00:00 (Japan Standard Time)
Ends
2017/06/30 23:59 (Japan Standard Time)
Public/Private
Public
Invitation setting
Open to everyone

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Intermediate ranking

Intermediate rank Nickname Intermediate score
1 talkhaldi 0.99951
2 ksaw 0.99780
3 0.99706
4 ミツヅミ 0.99664
5 aldim 0.99602
6 csaladin 0.99327
7 sbrf 0.99282
8 hyc 0.99246
9 Clement 0.99094
10 akr 0.98998
11 ねこ 0.98991
12 Yoshimasa Sakuragi 0.98981
13 luna 0.98949
14 Lu 0.98843
15 kiyomaro 0.98742
16 岩田2 0.98496
17 hoscaro 0.98461
18 Hayabusa 0.98424
19 mxg7y_k 0.98310
20 nak 0.98240
21 CHOI.SU 0.98133
22 Giri 0.97982
23 0.97913
24 T_Iwata 0.97464
25 Norio 0.97395
26 julio 0.97075
27 takuzoo 0.96839
28 statistic 0.96491
29 Lunafreya 0.96448
30 Joseph C. 0.95394
31 daws 0.90442
32 moonshadow 0.90159
33 maru 0.89570
34 to 0.85658
35 chou hui chen 0.85658
36 ShinF 0.85658
37 wdtch 0.85658
38 An 0.85567
39 mitsunari 0.85427
40 kamikawa 0.85208
41 gld 0.85036
42 N.YAZAWA 0.85035
43 admin 0.85034
43 iwata 0.85034
43 いわた 0.85034
43 Deepmen 0.85034
47 sxdc 0.84849
48 Kaaaaa 0.84799
49 tksh 0.84660
50 299 0.83905
51 ikaponchi 0.83342
52 Zanarkand 0.82348
53 Naito 0.81390
54 NumesSanguis 0.80709
55 eapiuaiohvaeuvb 0.79643
56 ak 0.77442
57 haha 0.64752
58 k 0.50179
59 0.50013
60 Copier 0.49936

This leaderboard is calculated on the latest submissions.
The intermediate scores are calculated using 50% of the test dataset, and the final scores are calculated using the other 50%.
Final ranks are determined according to the final scores.

Scores over time (Intermediate score)

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