4 epochs
final train loss: 0.806973
0.2s  mAP=73.42020  background=56.72497  wearer=77.87909  others=85.65653
0.4s  mAP=68.60449  background=49.88131  wearer=73.26704  others=82.66511
0.6s  mAP=64.61782  background=44.66684  wearer=68.57660  others=80.61002
0.8s  mAP=61.53765  background=41.31402  wearer=64.21804  others=79.08089
1.0s  mAP=59.41820  background=39.34993  wearer=61.35721  others=77.54745
1.2s  mAP=58.10069  background=38.91573  wearer=58.45949  others=76.92686
1.4s  mAP=57.24684  background=38.68165  wearer=57.00022  others=76.05865
1.6s  mAP=56.19807  background=37.71307  wearer=55.21953  others=75.66162
1.8s  mAP=55.18182  background=36.99897  wearer=53.45848  others=75.08801
2.0s  mAP=54.38864  background=37.05013  wearer=51.37220  others=74.74359
mean mAP=60.87144

12 epochs
final train loss: 0.661751
0.2s  mAP=72.44507  background=55.62292  wearer=76.67027  others=85.04201
0.4s  mAP=66.95546  background=48.28782  wearer=70.71200  others=81.86658
0.6s  mAP=62.31847  background=42.64250  wearer=64.97839  others=79.33452
0.8s  mAP=58.54713  background=38.96725  wearer=59.03811  others=77.63603
1.0s  mAP=56.08389  background=37.02472  wearer=55.22792  others=75.99903
1.2s  mAP=54.58857  background=36.78301  wearer=51.71494  others=75.26775
1.4s  mAP=53.57918  background=36.51419  wearer=49.39741  others=74.82594
1.6s  mAP=52.66949  background=35.89852  wearer=48.01650  others=74.09344
1.8s  mAP=51.73658  background=35.09050  wearer=46.39426  others=73.72498
2.0s  mAP=50.95706  background=34.68059  wearer=44.88548  others=73.30511
mean mAP=57.98809

50 epochs
final train loss: 0.300277
0.2s  mAP=66.54645  background=46.77405  wearer=71.62111  others=81.24419
0.4s  mAP=60.89720  background=39.76093  wearer=64.88690  others=78.04378
0.6s  mAP=56.41553  background=35.39797  wearer=58.39212  others=75.45650
0.8s  mAP=53.45517  background=33.13157  wearer=53.17203  others=74.06192
1.0s  mAP=51.56044  background=32.04965  wearer=49.57623  others=73.05543
1.2s  mAP=50.11650  background=31.56647  wearer=46.40684  others=72.37618
1.4s  mAP=48.95956  background=31.27035  wearer=44.07047  others=71.53785
1.6s  mAP=48.10094  background=31.17011  wearer=42.20836  others=70.92435
1.8s  mAP=47.49916  background=31.06982  wearer=41.03746  others=70.39020
2.0s  mAP=46.80053  background=30.67198  wearer=39.91152  others=69.81809
mean mAP=53.03515
