Table 2 Results of ablation experiments
From: GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling
Model | Lightweight | ASF-GD | EMA | Accuracy | Efficiency | ||||
|---|---|---|---|---|---|---|---|---|---|
Backbone | Neck | mAP@0.5 (%) | mAP@0.5:0.95 (%) | F1 | FLOP(G) | Params (M) | |||
Baseline | Â | Â | Â | Â | 91.69\(\:\pm\:\)1.44 | 59.58\(\:\pm\:\)2.28 | 0.921\(\:\pm\:\)0.008 | 103.20 | 36.49 |
No.1 | √ |  |  |  | 91.80\(\:\pm\:\)0.25 | 59.18\(\:\pm\:\)0.19 | 0.921\(\:\pm\:\)0.003 | 82.90 | 31.98 |
No.2 | √ | √ |  |  | 91.59\(\:\pm\:\)0.75 | 59.09\(\:\pm\:\)0.21 | 0.912\(\:\pm\:\)0.009 | 71.40 | 26.38 |
No.3 | √ | √ | √ |  | 92.54\(\:\pm\:\)0.77 | 62.29\(\:\pm\:\)0.55 | 0.934\(\:\pm\:\)0.006 | 84.80 | 26.69 |
No.4 | √ | √ | √ | √ | 93.15\(\:\pm\:\)1.07 | 64.84\(\:\pm\:\)0.68 | 0.946\(\:\pm\:\)0.014 | 87.40 | 30.54 |