Open Images 2019 - Object Detection
Best sub leaderboard
What if every single team had chosen their best sub for final scoring?
This LB is based on that scenario.
Team name | Public(final) | Private(final) | Private(best) | Public score | Private score | Date |
MMfruit ○○○○○ | 1 | 1 | 1 | 0.6817434985447439 | 0.6588794353161422 | 2019-10-01 |
imagesearch ○○○○○○○ | 2 | 2 | 2 | 0.6815507331268243 | 0.6533768152740322 | 2019-10-01 |
Prisms ○○○○○○ | 3 | 3 | 3 | 0.6717006993073649 | 0.6421400431005828 | 2019-10-01 |
PFDet ○○○○○○ | 4 | 4 | 4 | 0.6545419910916067 | 0.6222128895998085 | 2019-10-01 |
Omni-Detection ○○○ | 7 | 5 | 5 | 0.6314055993197135 | 0.6040615299663721 | 2019-10-01 |
Schwert ○ | 8 | 6 | 6 | 0.6279883712167365 | 0.602313094303076 | 2019-10-01 |
Team 5 ○○○○○ | 6 | 7 | 7 | 0.6321830994466183 | 0.6021069017689084 | 2019-10-01 |
pudae ○ | 5 | 8 | 8 | 0.6317208574687069 | 0.5975146316745799 | 2019-09-29 |
[ods.ai] n01z3 ○ | 9 | 9 | 9 | 0.6263424171046708 | 0.5953512920787639 | 2019-10-01 |
dingwoai ○ | 12 | 10 | 10 | 0.6083479969748391 | 0.5850483846048451 | 2019-09-30 |
J ○○○○○ | 10 | 11 | 11 | 0.6211436739905456 | 0.5825979409442268 | 2019-10-01 |
Markup Oracles ○○ | 11 | 12 | 12 | 0.613285678518789 | 0.5730484091161372 | 2019-10-01 |
ang TSS method ○ | 13 | 13 | 13 | 0.581169428405522 | 0.5435269016921465 | 2019-09-30 |
tito ○ | 14 | 14 | 14 | 0.5746578634299946 | 0.5388591260219696 | 2019-09-26 |
Appian ○ | 15 | 15 | 15 | 0.5709064705168942 | 0.5362945000984799 | 2019-09-07 |
Noah ○○○○○ | 16 | 16 | 16 | 0.5575438473344205 | 0.5302843645953553 | 2019-10-01 |
Wiwide ○ | 20 | 17 | 17 | 0.5518182548647067 | 0.521910253123596 | 2019-09-30 |
VisualTagging-CVC-UKOBE ○○○○○ | 18 | 18 | 18 | 0.5525092918917801 | 0.5218715950147478 | 2019-10-01 |
onlyone ○○ | 25 | 19 | 19 | 0.5426713832311524 | 0.5195143947673608 | 2019-08-29 |
Objectively detecting ○○○○ | 17 | 22 | 20 | 0.5566244337314427 | 0.517378572586176 | 2019-10-01 |
Wisers ○○ | 22 | 21 | 21 | 0.5491813284202955 | 0.5173142441059628 | 2019-09-30 |
Quatro ○○○○ | 21 | 23 | 22 | 0.5494386457507788 | 0.5143430842783824 | 2019-09-26 |
[ods.ai] 512 TPUs ○○ | 19 | 24 | 23 | 0.5534711236291694 | 0.5047163938089266 | 2019-09-30 |
T Nakamura (2GPUs) ○ | 24 | 25 | 24 | 0.5426736018005994 | 0.5038749574624034 | 2019-10-01 |