Table 1 Performance comparison of proposed P. falciparum detection models using test dataset
Models | mAP@0.3 (%) | Precision (%) | Recall (%) | F1-Score (%) | Avg. IOU (%) | FPS |
|---|---|---|---|---|---|---|
YOLOV4-MOD @\(608 \times 608\) | 96.32 | 95 | 94 | 94 | 62.12 | 29.60 |
YOLOV4-MOD @\(416 \times 416\) | 96.20 | 93 | 93 | 93 | 61.84 | 30.56 |
YOLOV3-MOD2 @\(608\times 608\) | 96.14 | 92 | 93 | 92 | 61.77 | 15.30 |
YOLOV3-MOD2 @\(416\times 416\) | 95.80 | 92 | 92 | 92 | 61.03 | 17.83 |
YOLOV3-MOD1 @\(608\times 608\) | 95.46 | 92 | 92 | 92 | 61.03 | 21.40 |
YOLOV3-MOD1 @\(416\times 416\) | 95.28 | 92 | 92 | 92 | 60.64 | 26.75 |
YOLOV4 @\(608\times 608\) [50] | 95.84 | 92 | 92 | 92 | 61.15 | 30.77 |
YOLOV4 @\(416\times 416\) [50] | 95.44 | 92 | 92 | 92 | 60.67 | 33.89 |
YOLOV3 @\(608\times 608\) [49] | 94.61 | 91 | 92 | 92 | 59.98 | 28.67 |
YOLOV3 @\(416 \times 416\) [49] | 94.45 | 91 | 91 | 91 | 58.85 | 30.43 |
Faster R-CNN [47] | 71.0 | 92.7 | 86.9 | 89.71 | – | 8 |
SSD @\(300\times 300\) [48] | 71.4 | 91 | 84 | 87 | – | 41 |