| \n | backbone | \nlearning_rate | \nbatch_size | \nepochs | \ndet_min_conf | \ndet_nms_th | \nrpn_nms_th | \nsteps_per_epoch | \nlayers | \n
|---|---|---|---|---|---|---|---|---|---|
| 0 | \nresnet50 | \n0.005 | \n8 | \n10 | \n0.9 | \n0.8 | \n0.7 | \n250 | \nheads | \n
| \n | patientId | \nx | \ny | \nwidth | \nheight | \nTarget | \n
|---|---|---|---|---|---|---|
| 0 | \nb4151d8f-c4d9-483b-8c78-4f6c5eea56ec | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| 1 | \n647aae90-5201-4b8b-8733-835d0bd244c3 | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| 2 | \n660423bf-1b7b-43d8-9d9a-ec96ea1afc1b | \n224.0 | \n638.0 | \n159.0 | \n156.0 | \n1 | \n
| 3 | \nb28ef305-54b7-4a24-9edc-00eb8e13d649 | \n163.0 | \n548.0 | \n185.0 | \n215.0 | \n1 | \n
| 4 | \nd6f5c7e6-5f9b-4022-a4bc-ad964a6a8e5f | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| \n | patientId | \nx | \ny | \nwidth | \nheight | \nTarget | \n
|---|---|---|---|---|---|---|
| 0 | \n63fe2b52-2b1e-4c81-8787-fd505ae97c37 | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| 1 | \nff8563d5-cc01-4dce-87c6-bf12e748955c | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| 2 | \na3e9eaec-d502-4e5d-abc9-bb5e28742b83 | \n432.0 | \n471.0 | \n264.0 | \n292.0 | \n1 | \n
| 3 | \n0bf44996-58da-4a12-8be1-da5c9b009975 | \n332.0 | \n148.0 | \n315.0 | \n186.0 | \n1 | \n
| 4 | \n36994bd6-13dc-405e-9f98-680a0e5b2eea | \n2.0 | \n483.0 | \n273.0 | \n435.0 | \n1 | \n
| \n | patientId | \nx | \ny | \nwidth | \nheight | \nTarget | \n
|---|---|---|---|---|---|---|
| 0 | \nac1426c4-11ff-485c-a0bb-790bd57d0527 | \n562.0 | \n615.0 | \n245.0 | \n135.0 | \n1 | \n
| 1 | \n265fdc5a-6b13-4ec0-a13c-81ac83bc3865 | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| 2 | \ndeae4641-aacf-42fd-a2be-e821c524b20b | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| 3 | \n2a34d198-3bc6-4a97-9c41-6a51df8e79f2 | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| 4 | \nc87aef02-b3c2-4b42-86dd-9bd89f014b72 | \nNaN | \nNaN | \nNaN | \nNaN | \n0 | \n
| \n | backbone | \nlearning_rate | \nbatch_size | \nepochs | \ndet_min_conf | \ndet_nms_th | \nrpn_nms_th | \nsteps_per_epoch | \nlayers | \n
|---|---|---|---|---|---|---|---|---|---|
| 0 | \nresnet50 | \n0.005 | \n8 | \n10 | \n0.9 | \n0.8 | \n0.7 | \n250 | \nheads | \n