Hybrid Deep Learning Algorithm-Based Food Recognition and Calorie Estimation

Table 4

Comparative analysis of the existing approaches with the proposed method.

Evaluation metrics	Mask RCNN+YOLO V5	Mask RCNN	YOLO	CNN
Accuracy	0.97125	0.96225	0.95125	0.92125
Sensitivity	0.96754	0.95354	0.94754	0.93754
Specificity	0.96452	0.95152	0.94252	0.93452
Precision	0.96415	0.95015	0.94115	0.93415
-score	0.96584	0.95184	0.94433	0.93584
MCC	0.96241	0.95041	0.94341	0.93241
NPV	0.94592	0.93892	0.92692	0.91592
FPR	0.0154	0.0214	0.0294	0.0354
FDR	0.0148	0.0198	0.0238	0.0348
FNR	0.0161	0.0251	0.0321	0.0461