In Progress

Topic provider

In the past 40 years, the Electronic and Optoelectronic System Research Laboratories undertakes the missions for the researches and developments of Semiconductor, Packaging, LED/OLED/Micro LED, Telecommunications, Flexible Electronics, 3D Imaging, Flexible Display and Transparent Display Application System technologies.

ITRI provides a welcoming work environment that stimulates the full potential of ITRI’s members, allowing them to excel and to perform their best in application-oriented researches. We fully cultivate the capability of independent innovation through participating in international cooperation and academic programs. These collaborative activities are pursued so as to aid in the success of technological incubation and entrepreneur start-ups. We strive to strengthen the technological innovation and value creation ability for Taiwan’s industry in order to remain the competitiveness globally.

2019/11/06 【AOI瑕疵分類】報名步驟說明

請直接點選「資料」頁面中的「檔案下載」,簽署 NDA 後即報名成功。

Introduction

Automated optical inspection (AOI) [1] is an automated visual inspection of printed circuit board (PCB) (or LCD,transistor) manufacture where a camera autonomously scans the device under test for both catastrophic failure (e.g. missing component) and quality defects (e.g. fillet size or shape or component skew). It is commonly used in the manufacturing process because it is a non-contact test method. It is implemented at many stages through the manufacturing process including bare board inspection, solder paste inspection (SPI), pre-reflow and post-reflow as well as other stages. The Institute of Electronics and Optoelectronics in Industrial Technology Research Institute(ITRI) has spent years on developing flexible displays, hoping to elevate the production quality with AOI technology during the pilot run. This time we have invited experts from different fields to join us, and focus on identifying defect classifications of AOI image data that are offered so as to elevate the identification efficiency of AOI through statistical science.

This is an open-ended problem that can be solved consistently over a long period of time, and has offered milestone rewards for participants. Baseline is the best score of the previous milestone, and Private Leaderboard will be updated occasionally.

Reference
[1] https://en.wikipedia.org/wiki/Automated_optical_inspection

Activity time

The milestone is set at 23:59:59 on 11/04/2020, with its Private Leaderboard being announced at 00:00:00 on 11/05/2020. The grade would be viewed as a basis for awards. Private Leaderboard will be updated occasionally before the milestone.

During the period from 04/30 to 11/04, Private Leaderboard will be updated once two weeks.

Prize Information

The final score should be uploaded before 23:59:59 on the day of milestone. After model verification, the top three exceeding Baseline score (0.998521) on Private Leaderboard would be awarded as follows:


The first place: 100,000 discount points of hicloud

The second place: 100,000 discount points of hicloud

The third place: 100,000 discount points of hicloud

You will be awarded a certificate if your score outperforms Baseline on the Private Leaderboard and you pass model verification process


Rewards were provided by Chunghwa Telecom

Note:

1. Hicloud points can redeem service charge. After the discount, the price will be charged at 30% off based on the list price automatically.

2. Chunghwa Telecom deserves the right to make changes to the terms and conditions herein.

3. A model verification process will be performed to verify eligibility of awardees. Only those who pass model verification process will be awarded a certificate and/or prize.

Evaluation Criteria

After classification models of defect prediction are offered by researchers participating in the issue, the back-end of the system would process them in bathces regularly to calculate the score. Evaluations are conducted by calculating the corresponding accuracy rate of the actual value.

The following is the formula:

$$Accuracy = {\text{Number of correct predictions} \over \text{Number of total predictions}}$$

Data description

There are six categories included in image data that the issue offers (1 normal category + 5 defect categories)

The download data file (aoi_data.zip) includes:

  • train_images.zip: image data for training (PNG format), 2,528 images in total.
  • train.csv: includes 2 columns, ID and Label.
    • ID: the image filename
    • Label: defect classification category (0: normal, 1: void, 2: horizontal defect, 3: vertical defect, 4: edge defect, 5: particle)
  • test_images.zip: image data for testing (PNG format), 10,142 images in total.
  • test.csv: includes 2 columns, ID and Label.
    • ID: the image filename
    • Label: defect classification category (the value can be only one of the following numbers: 0, 1, 2, 3, 4, 5)

Upload format description

Please upload the file in CSV format, separate with commas, and save in one file. The content must correspond to number order of ID columns and include the following information.

  • ID: the image filename
  • Label: defect classification category (the value can be only one of the following numbers: 0, 1, 2, 3, 4, 5)

*Please sign up for this topic first.
*Please sign up for this topic first.

Rules

  • Upload limit is 5 entries per day.
  • The evaluation result would be based on the final version that you upload. If two teams (or more) got the same evaluation scores, the time they upload would determine the ranking.
  • If there is cheating or fraud during the activity, the team that cheats will be disqualified from the activity and the vacancy would be filled up by other teams in the ranking order.
  • This topic does not offer the team-up option by request of the topic provider. If there are answers identified the same during topic examination and audit, participants with identical answers would be forced to withdraw the activity, with all uploading data of the topic being eliminated.
  • Keep the personal results in a safe place, lest the data be stolen or plagiarized, leading to the impairment of individual rights.
  • Awarding: We consider an account to belong to an individual, thus the prize should be collected by only one person. Multiple winners of one award are no longer acceptable in the platform.
  • After uploading, the answers of test data would be divided into two parts to calculate the score:
    • Before the deadline of the activity: The system refers to partial Ground Truth of test data to examine and calculate the score. The result will be posted on Public Leaderboard as reference for the final score and ranking. This data accounts for 40% of the entire test data.
    • After the deadline of the activity: The system refers to Ground Truth of the remaining test data to examine and calculate the score. The result will be posted on Public Leaderboard as reference for the final score and ranking.
  • Any form of manual labeling is forbidden. A model verification process will be performed to verify eligibility of awardees. Only those who pass model verification process will be awarded a certificate and/or prize.

tcglarry2018-08-22T03:43:21+00:00
0

1floor

不好意思, 確定一下, 8/23 晚上之前要上傳完畢? 是嗎?
(活動到9月底為止?)

stephanie_huang2018-08-22T03:51:04+00:00
0

3floor

貴單位您好, 我們是自強基金會資料科學與大數據分析師養成班的學員, 對於AOI瑕疵分類的題目感到興趣, 想要更進一步讓功能性更高, 不知道可否能提供相關細節的資料? (1.為了想要更真實的test,可否透露是那種產品&產業來源? 2.含時間序列資料AOI照片) 謝謝

eric2018-08-24T08:11:42+00:00
0

4floor

@tcglarry 您好,我是這個議題的負責人 Eric。目前議題的活動時間已延長至 9/27,歡迎您繼續參與本議題並上傳結果!

sikadeer2018-08-29T06:49:51+00:00
0

5floor

既然議題的時間延長, 請問現在還可以報名參加競賽嗎?

eric2018-08-31T00:37:23+00:00
0

6floor

@stephanie_huang 您好,謝謝您對於「AOI瑕疵分類」議題的關注與參與。
 
對於您所提的相關細節資訊,本平台從議題提供者所取得的資料中並沒有包括這部份的資訊,所以很抱歉無法協助。
再則平台所使用的資料皆與廠商簽定保密合約,解題以外的資訊即使有恐怕也無法提供,這部份是受法律約束的,希望您能諒解。
 
平台陸續會推出一些影像相關的議題,希望您繼續給於支持並擁躍參與,感謝!

eric2018-08-31T00:39:26+00:00
0

7floor

@sikadeer 您好,目前活動仍在進行中,歡迎您報名參加!

sikadeer2018-08-31T02:55:13+00:00
0

8floor

您好, 我想報名, 可是這個議題的網頁上找不到 "我要報名" 的按鍵, 請問還有其他的方式報名嗎?

eric2018-09-03T00:26:05+00:00
0

9floor

@sikadeer,您好,請直接點選資料頁面中的檔案下載,簽署 NDA 後即可參加,謝謝您的參與!

tcglarry2018-09-03T14:29:59+00:00
0

10floor

請問
a.只分類瑕疵類別, 對實際生產有幫助嗎 ?
b. 正確率多少以上, 模型會有佈建的效益 ? 

sikadeer2018-09-14T06:05:20+00:00
0

11floor

已經把結果上傳了,可是Leader Board 是空空的, 我怎麼知道上傳的資料對不對? 還有沒有改善的空間? 如果過幾天又做了新的版本再上傳, 怎麼知道有沒有進步?

eric2018-09-21T05:04:22+00:00
0

12floor

@sikadeer 您好,在您上傳檔案之後,系統會在 Public Leaderboard 中呈現您的分數,Private Leaderboard 則會在議題活動結束之後才公佈。

eric2018-09-21T05:16:21+00:00
0

13floor

@tcglarry 您好,分類瑕疵類別,有助於判斷所生產的產品是否有問題,並針對不同類別做進一步的分析;至於正確率,廠商在實際評估效益時,會依照不同的產品及應用有不同的要求,謝謝!

franky2018-09-28T04:29:12+00:00
0

14floor

先謝謝工研院提供 AOI 資料集! 請問 10/04 會用什麼方式公佈結果? 上傳資料的人員會有機會彼此溝通交流嗎?

eric2018-10-09T05:57:59+00:00
0

15floor

@franky 您好,AOI 瑕疵分類議題活動已圓滿結束,結果在 10/04 已透過快訊公佈。我們目前也在籌畫社群相關功能,以供大家交流,敬請期待,謝謝!

taurus12079@gmail.com2018-10-16T04:56:27+00:00
0

16floor

請問能提供test_images 的正確label嗎

eric2018-10-31T03:29:07+00:00
0

17floor

taurus12079@gmail.com 您好,AOI議題將規劃以不同的形式持續解題,所以暫時不會將test的 label公開,敬請見諒,謝謝!

JC2018-11-08T09:30:41+00:00
0

18floor

@eric 這個dataset還有可能供練習使用嗎? 

eric2018-11-27T03:13:18+00:00
0

19floor

@JC,您好,未來會推出不同形式的解題方式,敬請期待!

aiedward2019-04-04T14:27:04+00:00
0

20floor

aoi.zip 無法下載,經常中斷

eric2019-04-08T01:34:40+00:00
0

21floor

@aiedward,您好,經測試目前可以正常下載,請再嘗試下載,謝謝!

jjftim1232019-07-25T04:13:16+00:00
1

29floor

請問現在還可以報名嗎?謝謝!

eric2019-07-25T05:16:03+00:00
1

30floor

@jjftim123,您好,請在資料頁面下載資料,簽署 NDA 之後即可參加,謝謝!

K0Yang2019-08-28T09:13:36+00:00
0

31floor

請問現在上傳檔案怎麼不會跑出結果 ?

danny2019-08-29T02:29:07+00:00
2

32floor

@K0Yang,您好,這個問題我們已經修復,麻煩您再試試看,謝謝!

ZhuYuXian2019-11-04T10:03:37+00:00
0

33floor

沒有辦法參加議題

eric2019-11-05T01:25:27+00:00
0

34floor

@ZhuYuXian,您好,請在資料頁面下載資料,簽署 NDA 之後即可參加,謝謝!

qwe7946522019-11-06T03:50:29+00:00
0

35floor

剛剛報名活動進行中無法報名,請問還能報名嗎

qwe7946522019-11-06T03:51:57+00:00
0

36floor

活動還能報名嗎

eric2019-11-06T04:07:24+00:00
0

37floor

@qwe794652,您好,由於這個議題設定的緣故,請直接在資料頁面下載資料,簽署 NDA 之後即可報名參加,謝謝!

a0768andy2020-05-02T16:25:06+00:00
0

40floor

請問上傳CSV後多久會有成績呢?

eric2020-05-04T13:11:15+00:00
0

41floor

Hi @a0768andy

之前由於系統的設定
造成上傳後沒有算分
目前已正常運作

謝謝反應問題
也謝謝大家的參與!

jang_jian2020-05-20T07:59:21+00:00
1

42floor

您好, 由於目前排行榜是2019和2020的2個同時間點, 請問是否可以額外開一個2020排行榜?以區分2019和2020的排行榜, 謝謝

Ranking Team name Grade
1 blessxu 0.9992601 2019-05-15T03:16:54Z
2 cwhuang1021 0.9982737 2019-07-29T06:15:58Z
3 sikadeer 0.9980271 2019-09-30T13:47:35Z
4 stephan.kuo 0.9975339 2019-09-30T15:09:24Z
5 jakey 0.9972872 2020-06-06T05:30:20Z
6 sln95303 0.9970406 2019-06-17T08:44:12Z
7 fhwang 0.9967940 2019-05-30T08:48:43Z
8 Colmar 0.9965474 2019-06-09T17:28:45Z
9 aiedward 0.9965474 2019-07-04T23:11:30Z
10 arcat 0.9965474 2020-06-06T02:59:14Z
11 INER_AILab 0.9963008 2019-09-30T03:19:26Z
12 42zhazha 0.9955610 2019-12-16T11:09:10Z
13 tw48964896 0.9953144 2019-05-22T11:18:05Z
14 yuchi 0.9953144 2019-12-16T07:26:04Z
15 K0Yang 0.9950678 2019-09-03T07:26:27Z
16 youzhi 0.9948212 2019-12-12T11:17:39Z
17 LiuPiu 0.9945745 2019-06-10T16:17:34Z
18 Msdp 0.9945745 2019-12-17T11:19:35Z
19 jang_jian 0.9945745 2020-06-05T01:35:15Z
20 chengjiun.ma@gmail.com 0.9943279 2019-08-06T09:02:05Z
21 Yozi 0.9943279 2019-12-12T00:46:02Z
22 vincentwu 0.9943279 2019-12-16T05:58:23Z
23 Hsing_Ting 0.9943279 2019-12-16T06:00:47Z
24 0000 0.9940813 2019-12-17T08:23:51Z
25 SnorLax 0.9938347 2019-06-19T07:25:37Z
26 teds 0.9938347 2019-07-25T06:36:45Z
27 JJang 0.9938347 2020-06-05T09:08:44Z
28 JackKao 0.9935881 2019-05-30T10:17:33Z
29 Jiang 0.9935881 2019-05-30T15:41:12Z
30 gn00665219 0.9933415 2019-06-18T15:38:40Z
31 wen_long 0.9933415 2019-11-16T10:48:07Z
32 ridicon 0.9930949 2019-05-01T09:20:48Z
33 tueswking511 0.9928483 2019-05-03T16:12:43Z
34 hsh0703 0.9928483 2019-06-14T06:05:37Z
35 Ted_Bear 0.9926017 2019-08-03T09:30:51Z
36 NakiZhang 0.9926017 2020-06-03T04:53:59Z
37 a138b4a4 0.9926017 2020-06-04T12:24:42Z
38 desyandriani 0.9923551 2019-11-29T03:35:57Z
39 pacude881 0.9918618 2019-04-01T08:29:50Z
40 107378057 0.9918618 2019-05-02T02:03:08Z
41 supertortoise 0.9918618 2019-05-23T05:05:57Z
42 Laiyanting 0.9918618 2020-05-29T06:18:51Z
43 Henry_Dai 0.9918618 2020-05-29T08:17:22Z
44 Davidwill 0.9916152 2019-11-07T02:42:55Z
45 MaikuMilaSan 0.9916152 2020-05-06T09:55:37Z
46 sampon0223 0.9913686 2019-12-11T15:29:39Z
47 TeriTeri 0.9913686 2019-12-12T15:11:53Z
48 linan 0.9911220 2019-05-24T01:53:11Z
49 Rsys 0.9911220 2019-05-30T15:31:38Z
50 lucas85062055 0.9908754 2019-05-28T15:39:52Z
51 inture 0.9906288 2018-07-22T13:41:18Z
52 Cat_MeowMeow 0.9906288 2019-11-29T05:55:45Z
53 A610050A 0.9903822 2019-05-30T14:28:25Z
54 XiangChen 0.9903822 2019-12-02T06:09:12Z
55 zolo1122 0.9901356 2019-07-14T15:25:20Z
56 TerrenceChou 0.9901356 2019-09-23T02:05:10Z
57 Tony_CHU 0.9901356 2019-12-01T10:20:20Z
58 painting 0.9898890 2019-06-19T21:55:14Z
59 johnny88850tw 0.9896424 2019-05-18T18:24:37Z
60 chihyuu 0.9893958 2019-06-19T11:12:31Z
61 slot9004 0.9893958 2019-06-19T15:42:20Z
62 hmyeh 0.9891491 2019-12-13T09:22:27Z
63 ab30310 0.9886559 2019-06-09T11:29:15Z
64 franky 0.9884093 2018-09-17T05:47:55Z
65 86oujohnny 0.9884093 2019-07-15T08:18:56Z
66 royce 0.9881627 2019-07-16T05:38:48Z
67 7777 0.9881627 2019-12-17T14:32:23Z
68 cyl02 0.9881627 2019-12-17T15:57:05Z
69 evankao 0.9879161 2019-12-16T08:22:30Z
70 105021044 0.9879161 2020-05-29T09:49:57Z
71 a0985546 0.9879161 2020-06-05T07:27:49Z
72 benq581 0.9876695 2019-06-23T01:58:40Z
73 andysu840520 0.9874229 2019-05-10T08:03:25Z
74 May_Hsu 0.9874229 2020-06-05T06:38:06Z
75 Colin 0.9871763 2019-05-29T17:17:32Z
76 itri456133 0.9869297 2018-07-31T07:24:21Z
77 a0768andy 0.9869297 2020-05-12T01:37:43Z
78 Data-AI 0.9866831 2019-10-31T09:54:52Z
79 J4James 0.9864364 2019-08-10T02:50:57Z
80 wenlong 0.9864364 2019-11-21T07:14:13Z
81 kevin32111@gmail.com 0.9859432 2019-06-22T04:38:46Z
82 jakea91137 0.9859432 2019-12-17T14:22:01Z
83 p692584k 0.9854500 2019-06-21T19:14:04Z
84 CCYY 0.9854500 2020-06-02T09:22:56Z
85 Miles 0.9849568 2019-11-14T10:58:37Z
86 tommyrpg1010 0.9839704 2019-07-08T04:05:56Z
87 chaoziyin 0.9837237 2019-06-13T13:56:31Z
88 jamychen1126 0.9832305 2019-06-15T08:31:25Z
89 Jerry_Lin 0.9827373 2020-06-04T01:15:46Z
90 panzer 0.9824907 2019-06-20T03:17:57Z
91 paul369xd 0.9819975 2019-06-18T02:32:19Z
92 Sero8139 0.9819975 2019-09-05T06:08:32Z
93 thanhphat1221 0.9815043 2019-05-20T08:43:27Z
94 PDFwithData 0.9815043 2020-06-03T05:57:57Z
95 VanSuHuynh 0.9812577 2019-05-30T14:24:04Z
96 hsieh 0.9812577 2019-12-17T03:21:25Z
97 yonglee 0.9807644 2019-08-31T00:44:43Z
98 jesse1029 0.9802712 2020-05-19T07:57:44Z
99 hlping1248 0.9800246 2019-08-26T17:38:09Z
100 m10817021 0.9800246 2019-12-03T03:39:23Z
101 Allen 0.9797780 2019-04-02T09:31:08Z
102 cheney235689 0.9797780 2019-06-06T10:32:47Z
103 tommy860823 0.9797780 2019-06-22T06:12:23Z
104 gino6178 0.9797780 2019-12-17T01:37:36Z
105 pups2468 0.9795314 2019-06-17T17:09:01Z
106 mingj 0.9792848 2019-03-30T20:23:54Z
107 ProL 0.9790382 2019-12-17T14:52:32Z
108 taurus12079 0.9787916 2019-05-15T05:53:55Z
109 M10813059 0.9787916 2019-12-13T16:09:25Z
110 Lucas7246 0.9782983 2019-06-15T17:31:54Z
111 heysun0728 0.9780517 2019-06-12T08:02:15Z
112 xu4c941i6 0.9780517 2019-08-27T13:39:59Z
113 Wiwi 0.9778051 2019-07-16T08:31:52Z
114 epriwahyu 0.9778051 2019-12-17T10:30:24Z
115 suryakumara33 0.9778051 2019-12-17T10:33:24Z
116 ee255852 0.9775585 2019-06-15T11:06:13Z
117 ian06013101799 0.9775585 2019-06-17T01:10:04Z
118 lunaseaman 0.9773119 2018-09-16T06:30:04Z
119 flovebrs 0.9768187 2019-06-17T07:38:56Z
120 WindDYTING 0.9768187 2019-10-27T08:11:38Z
121 igormorawski 0.9763255 2019-06-18T07:21:22Z
122 chtte13 0.9760789 2019-06-21T09:23:54Z
123 CnnClassProject 0.9758323 2019-12-17T03:24:19Z
124 ChenJH 0.9755856 2018-09-14T05:20:23Z
125 cwhuang.1021 0.9753390 2019-12-16T13:06:16Z
126 onesmall 0.9750924 2019-09-24T17:53:58Z
127 yi.ting 0.9748458 2019-09-24T01:45:46Z
128 CSIE 0.9748458 2019-12-17T12:54:50Z
129 Daniel_Lin 0.9745992 2020-06-05T08:59:41Z
130 m10817003 0.9743526 2019-12-07T03:03:30Z
131 ning364 0.9741060 2019-08-31T14:46:16Z
132 uun_rio 0.9741060 2019-12-06T19:01:19Z
133 electron606b 0.9738594 2019-10-18T08:37:26Z
134 RayChang 0.9736128 2019-05-30T12:31:20Z
135 johnny5151 0.9723797 2019-12-17T06:27:34Z
136 htsc108 0.9721331 2019-12-03T11:53:52Z
137 tcglarry 0.9718865 2018-08-31T07:19:17Z
138 Feng 0.9718865 2019-11-08T09:30:40Z
139 cmhuang 0.9718865 2020-06-03T11:40:51Z
140 HTSC_1011a_lab 0.9713933 2019-12-14T08:47:15Z
141 wayne9458 0.9709001 2019-07-16T15:34:25Z
142 larry 0.9704069 2018-09-11T10:17:48Z
143 y987141 0.9699136 2019-06-06T12:58:35Z
144 wyp8711 0.9696670 2019-08-31T15:54:59Z
145 jummy1124@gmail.com 0.9696670 2020-05-04T04:22:23Z
146 M10813061 0.9694204 2019-12-17T12:02:03Z
147 katychou 0.9689272 2018-09-03T12:30:16Z
148 YCLo 0.9689272 2019-06-22T09:11:27Z
149 a1212035 0.9689272 2020-05-20T12:03:36Z
150 b10556037 0.9686806 2019-07-29T15:45:24Z
151 mimi75323 0.9686806 2019-12-09T10:21:27Z
152 chris880622 0.9681874 2019-06-09T01:39:52Z
153 gash8234 0.9667077 2019-06-15T14:12:33Z
154 syue 0.9657213 2019-12-17T13:09:28Z
155 redsunmirage 0.9654747 2019-05-24T06:44:08Z
156 cacycacy 0.9652281 2019-11-15T14:30:38Z
157 GinaChen 0.9649815 2019-09-04T05:45:18Z
158 shyuan 0.9642416 2019-08-28T13:07:01Z
159 RogerHung 0.9639950 2018-08-27T09:32:01Z
160 amberliu1985 0.9635018 2019-06-19T10:04:30Z
161 qwe846132 0.9635018 2019-08-30T03:56:50Z
162 edonovanto 0.9612823 2019-07-28T04:40:18Z
163 sevillachea 0.9610357 2019-07-28T03:27:23Z
164 doraemon 0.9607891 2019-12-17T11:52:59Z
165 socrateschch 0.9605425 2019-05-06T05:49:57Z
166 yomingjayism 0.9600493 2019-06-17T09:22:09Z
167 logomacaca 0.9598027 2019-09-25T02:22:37Z
168 jackevin 0.9590628 2019-06-13T02:25:17Z
169 hsin8824 0.9580764 2019-06-12T02:05:41Z
170 htchu.taiwan@gmail.com 0.9580764 2020-06-04T05:14:39Z
171 CMBL 0.9575832 2020-06-05T19:14:21Z
172 sleepingpandaaa 0.9573366 2019-07-28T07:02:39Z
173 Hsiao7033 0.9573366 2019-08-09T11:19:51Z
174 boomdeyadah 0.9546239 2019-06-09T03:51:29Z
175 PeterCheng 0.9546239 2019-09-01T09:43:49Z
176 build0220 0.9543773 2018-09-25T14:23:34Z
177 t107598068 0.9543773 2019-05-05T16:10:30Z
178 ag150300 0.9528976 2019-12-17T15:48:11Z
179 Fredericklee602 0.9521578 2019-11-20T08:27:43Z
180 Ethan 0.9499383 2020-05-23T15:44:59Z
181 kaede10263 0.9472256 2019-10-08T01:59:33Z
182 aditya 0.9467324 2019-07-26T13:53:16Z
183 Vivek 0.9467324 2019-07-26T16:32:06Z
184 joker 0.9442663 2019-06-09T13:21:48Z
185 geniuspingping 0.9442663 2019-06-24T16:33:05Z
186 Cash 0.9437731 2020-06-02T02:11:22Z
187 franco0088 0.9430332 2019-06-25T01:00:39Z
188 Sandra 0.9400739 2018-08-23T15:33:56Z
189 Jack9512 0.9390875 2019-09-03T12:48:28Z
190 yuanyuanjerry 0.9383477 2019-06-23T23:16:26Z
191 htchutw 0.9378545 2019-12-17T15:43:50Z
192 Overcomer 0.9361282 2019-11-06T14:08:00Z
193 jack8566662 0.9353884 2019-05-20T00:08:04Z
194 imlm0001 0.9324290 2019-06-17T06:38:29Z
195 chouchienu 0.9324290 2019-06-22T04:20:49Z
196 JasonDong 0.9270036 2019-11-15T03:06:49Z
197 small77 0.9119605 2019-06-16T13:51:27Z
198 ES29 0.9092478 2019-12-07T14:22:21Z
199 azb43210 0.9092478 2019-12-16T15:07:14Z
200 park10817002 0.9087546 2019-12-16T15:23:13Z
201 parker 0.9087546 2019-12-17T11:58:09Z
202 ping27942 0.9067817 2019-06-17T05:50:16Z
203 cowboss779 0.9008631 2019-12-13T16:09:13Z
204 gene3706 0.8939580 2019-06-13T20:00:38Z
205 yuzjzj 0.8905055 2019-11-04T10:36:07Z
206 Plateman 0.8744759 2019-12-17T06:41:41Z
207 Rjun 0.8658446 2019-11-20T15:19:18Z
208 b10556007 0.8604192 2019-05-30T15:55:06Z
209 ainglee 0.8579531 2019-06-17T06:35:17Z
210 siyu026019 0.8453760 2019-06-20T05:51:18Z
211 azb40321 0.8350184 2019-12-17T15:49:52Z
212 shian_yun 0.8350184 2020-06-06T08:44:10Z
213 ccccu33333 0.8268803 2019-05-23T13:37:29Z
214 cianyu150cjo 0.8256473 2019-06-23T06:57:02Z
215 w10041656 0.7972872 2019-06-14T04:36:13Z
216 BradTing 0.7945745 2019-12-14T08:32:34Z
217 M10817031 0.7861898 2019-12-17T09:59:54Z
218 gcpyobcmst001 0.7819975 2018-09-26T13:59:50Z
219 et10man 0.6912453 2019-07-15T08:32:41Z
220 be3575 0.6848335 2019-06-22T04:25:48Z
221 DuyDinh 0.4623921 2019-06-17T01:40:43Z
222 pek9527 0.4545006 2018-09-27T15:59:21Z
223 B10456005 0.3447595 2019-06-19T06:55:34Z
224 taurus12079@gmail.com 0.3282367 2018-09-13T10:39:00Z
225 or624 0.2663378 2019-04-08T07:06:18Z
226 ERR1121 0.2663378 2020-05-11T06:04:41Z
227 Mingyenchu 0.2660912 2018-08-06T15:55:25Z
228 B10556010 0.2569667 2020-05-21T18:10:55Z
229 cynthiapr 0.2547472 2019-07-25T06:37:37Z
230 LoliconSTU 0.2276202 2020-06-04T07:29:18Z
231 evandio 0.2199753 2019-07-25T06:10:31Z
232 timsimtho 0.2140567 2019-06-10T11:01:25Z
233 Felixgunawan 0.2110974 2019-07-25T05:31:20Z
234 Adam0800 0.2069050 2019-12-05T06:11:16Z
235 irfan.frans 0.2046855 2019-07-25T06:22:49Z
236 qwe794652 0.1346485 2019-12-17T05:31:09Z
237 hadean92 0.0009864 2019-12-12T13:32:38Z
Loading...

更新時間: Wed, 27 May 2020 16:10:13 GMT

Ranking Team name Grade
1 blessxu 0.9985214 2019-05-15T03:16:54Z
2 fhwang 0.9981928 2019-05-30T08:48:43Z
3 sln95303 0.9978643 2019-06-17T08:44:12Z
4 stephan.kuo 0.9978643 2019-09-30T15:09:24Z
5 cwhuang1021 0.9977000 2019-07-29T06:15:58Z
6 Colmar 0.9975357 2019-06-09T17:28:45Z
7 LiuPiu 0.9968785 2019-06-10T16:17:34Z
8 INER_AILab 0.9968785 2019-09-30T03:19:26Z
9 tw48964896 0.9967143 2019-05-22T11:18:05Z
10 0000 0.9965500 2019-12-17T08:23:51Z