Due date - 2020-02-23 01:00:00 (UTC) Competition organizer - Platform.ai Degree of Burn Classification Challenge

Completed

In this challenge users aim to create a model in Platform.ai that best classifies burn images from a target dataset. The images within the target dataset are of patients with recent burns during treatment at a world-class burn clinic. The labels within the target dataset were created by medical burn specialist and act as the test set for this challenge. Users should create a project with Platform.ai, upload their burn images, label them and create a model. After entering the competition with their project’s model it will be evaluated and the ranking will appear on the leaderboard.

Dataset description:


The target dataset contains pictures of patient burns. Each image is an example of one of the types of burns listed in the label set

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Rank Username Accuracy Entries
1 YJPAU 0.7791 35
2 Alejo Pijuan 0.7751 165
3 Mauro Small 0.7651 59
4 Amy Wang 0.7550 31
5 Francesc Balada 0.7450 135
6 Bismay Nayak 0.7309 152
7 Zahra Sarafraz 0.7309 28
8 Mark Alexander 0.7269 26
9 Jishnu P 0.7229 229
10 Anu George 0.7189 41
11 Shobhit Sundriyal 0.7149 8
12 Shashidhar Mangam 0.7129 58
13 Tao Jin 0.7088 55
14 Kitt Miller 0.7088 77
15 Shobhit Sundriyal 0.7068 5
16 enricodainelli 0.7028 87
17 Utkarsh Gupta 0.6908 70
18 Shivani Pachika 0.6847 10
19 Rafał Pytel 0.6526 15
20 Rick Gentry 0.6345 7
21 Ent Phan 0.6305 7
22 Kousai Smeda 0.6225 13
23 akash smaran 0.6044 11
24 Anish Kumar 0.6024 39
25 Muhammad Ali Valliani 0.5904 6
26 Abhishek Bansal 0.5622 64
27 Yang Chen 0.5602 3
28 Stephan Hähne 0.5402 6
29 Alexander Lemeza 0.5382 57
30 David Massoud 0.4779 2
31 bharat yandapalli 0.4719 5
32 Guneet kaur 0.4679 1
33 Christiaan Fulton 0.4337 1
34 Arun Raja 0.2249 2
35 Alex Finkelshtein 0.2189 4