Releases · BloodAxe/Kaggle-2024-CryoET · GitHub

13 Feb 09:49

BloodAxe

Models release Latest

Latest

Pretrained models used in winning submission.
Releasing individual models and final ONNX ensemble.

Assets 13

250117_1623_segresnetv2_fold_2_6x96x128x128_rc_ic_s2_2240-score-0.8046-at-0.355-0.280-0.395-0.340-0.185.ckpt

217 MB 2025-02-13T09:30:09Z
250117_2136_segresnetv2_fold_0_6x96x128x128_rc_ic_s2_2560-score-0.8457-at-0.265-0.290-0.195-0.150-0.550.ckpt

217 MB 2025-02-13T09:32:06Z
250117_2225_segresnetv2_fold_1_6x96x128x128_rc_ic_s2_2880-score-0.8366-at-0.345-0.110-0.185-0.135-0.305.ckpt

217 MB 2025-02-13T09:33:28Z
250118_0038_segresnetv2_fold_3_6x96x128x128_rc_ic_s2_2240-score-0.8398-at-0.230-0.345-0.405-0.360-0.255.ckpt

217 MB 2025-02-13T09:34:34Z
250118_0108_segresnetv2_fold_4_6x96x128x128_rc_ic_s2_2880-score-0.8437-at-0.165-0.350-0.245-0.235-0.270.ckpt

217 MB 2025-02-13T09:35:41Z
250118_0912_dynunet_fold_0_6x96x128x128_rc_ic_s2_re_0.05_1484-score-0.8272-at-0.145-0.330-0.215-0.235-0.405.ckpt

358 MB 2025-02-13T09:36:54Z
250118_0953_dynunet_fold_1_6x96x128x128_rc_ic_s2_re_0.05_4982-score-0.8337-at-0.390-0.185-0.215-0.210-0.235.ckpt

358 MB 2025-02-13T09:38:42Z
250118_1112_dynunet_fold_2_6x96x128x128_rc_ic_s2_re_0.05_2650-score-0.7971-at-0.425-0.160-0.550-0.275-0.650.ckpt

358 MB 2025-02-13T09:40:44Z
250118_1208_dynunet_fold_3_6x96x128x128_rc_ic_s2_re_0.05_1590-score-0.8418-at-0.385-0.345-0.345-0.305-0.210.ckpt

358 MB 2025-02-13T09:42:26Z
250118_1253_dynunet_fold_4_6x96x128x128_rc_ic_s2_re_0.05_1060-score-0.8420-at-0.230-0.340-0.255-0.375-0.140.ckpt

358 MB 2025-02-13T09:44:22Z
Source code (zip)

2025-02-09T13:17:43Z
Source code (tar.gz)

2025-02-09T13:17:43Z