Learning to Recognize Musical Genre from Audio on the Web
11 months ago
The deadline for submission of your models packaged as docker containers for round-2 has been extended to April 8th, 2018.
The grading server will expect the code to be a Binder compatible repository.
Predictions will be made on an arbitrary number of mp3 files of at most 30seconds each. During the execution of the container, All the mp3 files will be mounted at the location : /crowdai-payload. Execution of your container will be initiated by executing /home/run.sh /crowdai-payload.
More details of how to package your code as Binder compatible repositories, please read the documentation :
During the runtime, the container will not have access to the external internet, and will have access to :
and a timeout of 10 hours.
Note that, the results from your submitted containers will be announced at the end of Round-2.
10 months ago |