The easiest way to start and submit your solution is to open the following tutorial on Colaboratory from Google.
alias date submitted_iou calculated_iou -- --------------- -------------------------- --------------- ---------------- 1 AquamanZo 2021-06-03 17:05:55.772358 0.51072 0.516741 2 tekashi 2021-04-20 19:31:43.024354 0.50132 0.513168 3 dolphinSantiago 2021-03-28 21:13:52.740719 0.48156 0.490305 4 alias 2021-06-04 13:05:31.930730 0.57413 0.487422 5 alias1 2021-06-04 10:45:15.451028 0.5775 0.473954 6 duplin 2021-06-03 09:59:18.678395 0.46366 0.471571 7 Fico 2021-06-02 13:18:06.353793 0.46946 0.468637 8 Orka 2021-04-02 16:21:59.548029 0.47683 0.467433 9 Boto 2021-03-31 22:30:51.956628 0.44334 0.461158 10 Dupin 2021-03-31 14:35:22.171495 0.46228 0.457796 11 dolphin_rovinj 2021-05-01 20:06:35.372099 0.43487 0.45727 12 dolphinn 2021-06-02 23:25:59.245905 0.45828 0.456409 13 assert0 2021-05-30 17:16:46.563665 0.4434 0.455922 14 test1 2021-06-04 20:53:40.681073 0.44507 0.451674 15 dupincek 2021-03-29 17:04:06.266327 0.44912 0.446151 16 stokic 2021-02-21 18:51:53.232539 0.43552 0.442665 17 firstML 2021-02-28 09:54:54.020979 0.42529 0.432354 18 rangoiv_0.0 2021-03-11 21:18:19.755089 0.41769 0.426023 19 testy 2021-03-12 15:06:14.210987 0.39001 0.372717
You can also work on your own personal computer or cloud by installing our pip package and downloading the data directly using the following command:
pip install dolphins-recognition-challenge
from dolphins_recognition_challenge.datasets import get_dataset train_ds, val_ds = get_dataset("segmentation")
Discussions are hosted on Github, together with the complete source code of the challenge. There you can ask questions and discuss any matter you like.
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