An Improved Convolutional Neural Network Algorithm and Its Application in Multilabel Image Labeling

Table 2

Comparison of the labeling accuracy when two models were trained 100 times on the Pascal VOC 2012 dataset.

Image category	CNN	DCCNN
Plane	0.983	0.999
Bike	0.877	0.973
Bird	0.918	0.984
Boat	0.920	0.972
Bottle	0.722	0.892
Bus	0.920	0.980
Car	0.819	0.939
Cat	0.916	0.970
Chair	0.668	0.804
Cow	0.999	1.0
Dining table	0.570	0.757
Dog	0.894	0.971
Horse	0.927	0.978
Motorbike	0.849	0.931
Person	0.871	0.957
Potted plant	0.729	0.881
Sheep	0.960	0.993
Sofa	0.618	0.827
Train	1.0	0.999
TV monitor	0.746	0.866
MAP value	0.845	0.934