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. 2022 Feb 18;22(4):1596. doi: 10.3390/s22041596

Table 8.

Results for SSL-trained models for models with various hyper-parameters on the 151617 annotated dataset together with unannotated images from a harvest from 2019. Additional results are also shown for baseline fully supervised models in the first rows.

Train Set Unsup. Set Bbox Thresh Unsup Images Unsup Weight AP AP@0.5 AP@0.75 PCC CW40 PCC CW43 PCC CW40+43
151617 [2] NA NA NA NA NA NA NA 0.95 0.79 0.81
151617 NA NA NA NA 17.20 32.15 15.96 0.94 0.75 0.68
151617 2019 0.1 1 0.5 15.57 27.73 16.16 0.88 0.73 0.72
151617 2019 0.1 1 4 - - - - - -
151617 2019 0.1 4 0.5 17.49 31.36 17.40 0.86 0.76 0.71
151617 2019 0.1 4 4 - - - - - -
151617 2019 0.3 1 0.5 17.85 31.92 17.78 0.93 0.72 0.75
151617 2019 0.3 1 4 19.93 36.02 19.64 0.81 0.74 0.67
151617 2019 0.3 4 0.5 17.95 32.32 17.66 0.92 0.71 0.72
151617 2019 0.3 4 4 19.73 35.15 20.47 0.85 0.69 0.65
151617 2019 0.5 1 0.5 19.79 35.86 20.32 0.90 0.79 0.70
151617 2019 0.5 1 4 17.78 34.85 15.45 0.83 0.73 0.62
151617 2019 0.5 4 0.5 19.66 36.45 18.54 0.88 0.72 0.65
151617 2019 0.5 4 4 20.75 38.35 19.99 0.88 0.72 0.63
151617 2019 0.7 1 0.5 15.56 27.82 15.36 0.88 0.63 0.63
151617 2019 0.7 1 4 15.36 28.13 15.13 0.77 0.58 0.59
151617 2019 0.7 4 0.5 15.47 28.48 14.84 0.86 0.60 0.58
151617 2019 0.7 4 4 13.58 24.37 13.22 0.77 0.55 0.56