participants
Taiwan Centers for Disease Control (Taiwan CDC) is the competent authority responsible for the prevention and control of communicable diseases in Taiwan. Our mission is to protect people from the threats of communicable diseases.In recent years, with dramatic increases in international travel and the number of foreign laborers, various communicable diseases have been imported to Taiwan.
Facing the threat of emerging and re-emerging communicable diseases, Taiwan CDC has built up comprehensive surveillance network, such as National Notifiable Disease Surveillance System, and formulated policies for disease prevention, quarantine, and the capabilities of laboratory testing and research. The linkage among different systems provides real-time information exchange and leads to prompt response for possible outbreaks. Taiwan CDC devotes every effort to further strengthening research capacity and recruiting experts to combat the threats of communicable diseases in a scientific way.
Dengue fever is an acute infectious disease transmitted by mosquito. The peak time of dengue fever outbreak in Taiwan is usually at summertime. Mild clinical cases of dengue fever may present as symptoms such as fever, headaches, and myalgia while severe cases may have severe fluid leakage, hemorrhagic symptoms, shock, organ failure, coma and even death. The mortality rate can be as high as 20% or more if the patient does not receive proper treatment in time.
To effectively prevent dengue fever outbreak, cleaning up the breeding sites of the mosquitos is essential. Possible breeding sites for mosquitos include all containers that hold stagnant water, such as bottles, basins, buckets, cans, cups, bowls, tires, plastic bags, and etc.
Every year, the Taiwan Centers for Disease Control collaborate with local health department to examine the communities and to find uncleaned sites with those containers that may hold stagnant water, where may become mosquito breeding sites afterwards. However, the inspection takes tremendous manpower and time. This challenge provides labeled data for the various types of containers, and aims to build an object detection model for possible breeding sites. This way the inspectors can pinpoint the containers which hold stagnant water by digital camera images or live video, and thus improve the effectiveness of inspection and breeding site elimination.
This is an open-ended problem that can be solved consistently over a long period of time, and has offered milestone awards for participants. the award will be given to the first three participants who reached the Baseline, and Private Leaderboard will be updated occasionally.
The final score should be uploaded before 23:59:59 on the day of milestone. The top three exceeding Baseline score (0.595474) 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
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.
The example of calculating points can be referred to https://aidea-web.tw/computing
The milestone is set at 23:59:59 on 11/30/2019 (UTC+8), with its Private Leaderboard being announced at 00:00:00 on 12/01/2019 (UTC+8). The grade would be viewed as a basis for awards. Private Leaderboard will be updated occasionally before the milestone.
During the period from 8/29 to 11/30, Private Leaderboard will be updated once two weeks.
The metrics of topic use mean Average Precision (mAP)[1] at intersection over union (IoU)[2] threshold is 0.5.
If the IoU of detection and ground truth is greater than 0.5, it is considered a True Positive, else it is considered a False Positive. Then we can get Precision.
The system evaluates its AP score for each small object, and then calculates the 13 type of water container object AP on average, and gets the mAP evaluation value. The participants will be ranked according to the criteria.
The system calculates mAP evaluation values using the COCO API[3]
Reference
[1] Average Precision (AP): https://en.wikipedia.org/wiki/Evaluation_measures_%%28information_retrieval%%29#Average_precision
[2] intersection over union (IoU):
https://en.wikipedia.org/wiki/Jaccard_index
[3] COCO API:
https://github.com/cocodataset/cocoapi
