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Amazon KDD Cup 2022
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Airborne Object Tracking Challenge
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Machine Learning for detection of early onset of Alzheimers
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Airborne Object Tracking Challenge
Submission questions
Over 3 years agoThank you for the answers @zontakm9!
Now I have a couple of additional questions for the clarifications:
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For example, I want to use one model (SIAM-MOT) for tracking and another model for the frame-level detection. And time limit does not allow to use both in a single submission. Could I split it into two different submissions and submit them separately?
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So, does it mean that Private Leaderboard will be evaluated using the last successful submission to the Public LB?
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I guess, there was no mention about reducing HFAR/ FPPI by at least 50% for the SIAM-MOT model before. Could you, please, add it to the official rules? Seems that one of my last submissions should pass this criterion, then.
Submission questions
Over 3 years agoHi all! I have a couple of questions to the organizers (cc: @shivam ):
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The challenge overview contains the following text:
Teams must clearly indicate which benchmark(s) the submission is participating in
. So, is it possible to specify a single benchmark during the submission process? -
Currently both benchmark Leaderboards show only the best submission for the corresponding benchmark. Will it be possible to manually select the submissions for the Private Leaderboards?
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For a submission to be valid on the Public LB it should meet conditions on HFAR and FPPI metrics. Will these conditions be also checked on the Private LB? Or if the submission passes the Public LB it will be valid on the Private LB, even if HFAR/FPPI conditions are not met there?
Ideas for getting started
Over 3 years ago@siddhartha thanks for the suggestions and resources!
Just one additional question about the YOLO: is it allowed to use the code under GPL-3.0 license for this competition?
For example, YOLOv3 implementation from ultralytics: https://github.com/ultralytics/yolov3