The purpose of this challenge is to compare approaches of ophthalmic disease classification in color fundus images. Participant will have to submit classification results of eight categories for all the testing data. For every category, a classification probability (value from 0.0 to 1.0) denotes risk of a patient diagnosed with corresponding category.

##### Result Submission
Submissions of results will be accepted in CSV file (named as [{Team Name}_{ODIR}.csv] example filename: “XYZ_ODIR.csv”). It must have a header (pid denotes patient id, must be same with provided patient id in ODIR-5K database) and should look like the following:

pid,N,D,A,G,C,H,M,O1,0,0.8,0,0,0,0,0,0.92,1.0,0,0,0,0,0,0,0

##### Performance Evaluation
Submissions are scored based on three metrics: mean per-class accuracy (mPCA),  F-1 socre and AUC value. mPCA firstly computes accuracy for each class, then takes the mean of all the eight accuracy values. The threshold is 0.5.

A final score is the average of the above metrics.

##### 结果提交

PID,N,D,A,G,C,H,M,O1,0,0.8,0,0,0,0,0,0.92,1.0,0,0,0,0,0,0,0