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Matrix of Features and Frameworks (1 -5*Some of the systems mentioned earlier are not listed in the matrix: Innocentive, TopCoder, ChallengePost, Midas/COVALIC)*
Below (in our opinion) is a table that rates the relative merits of the most relevant frameworks that we evaluated. The scale is 1-5 where 1 indicates excellent support for the feature while 5 indicates that that feature is not currently part of the system or there is limited support.

 KaggleSynapseHubZero (challenges/projects)COMICVISCERALCodaLab
       
       
       
       
       
       
       
       

 

 

 

Kaggle/

Synapse

HubZero (challenges/projects)

COMIC

VISCERAL

CodaLab

Ease of setting up new challenge

2/4 (if new metrics need to be used)

2

2/5

2

3

1Explain the scoring system

Cost (own server/hosting options)

$10-$25k/challenge
(free for class)

Free/hosted

Free/hosted

Free/hosted

Free/Azure costs

Free/hosted

License

Commercial

OS

OS

OS

OS

OS

Ease of extensibility

5

4

4

2

3

2

Cloud support for algorithms

4

3

3

4

1

3

Maturity

1

1

1/5

3

4

3

Flexibility

 

 

 

 

 

 

Number of users

1

1

1/5

3

3

3

Types of challenges

1

1

1

3

1

1

Native imaging support

No

No

No

Yes

Limited

No

API to access data, code

5

1

3

4

4

4

...


The web portal is the single point of entry for the participants. Historically, this would have information about the challenge, potentially host the data and provide a submission site for the user to upload results. The challenge organizer could also provide the results of the challenge at this page. Many challenges have wikis and announcement pages as well as forums. A good example of active discussion forums can be found at the Kaggle (https://www.kaggle.com/c/diabetic-retinopathy-detection/forums ). Most systems have backend systems (typically a relational database) for managing data and users. These allow registered used to access perhaps the training data and ground truth, the test data but not the ground truth. Challenge systems tailored for radiology and pathology also have specialized tools for handling these specialized data types and for creating and management of annotations and ground truth. Challenge systems also need modules for scoring and evaluation of the submissions. Finally, it is important to present the results back to the participants. Often these are presented in an ordered fashion with "winners at the top of the list.

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