The Automatic Detection of Pedestrians under the High-Density Conditions by Deep Learning Techniques

Table 2

The statistics when detecting the 4 typical samples by our model.

	T1	T2	T3	T4
(a) The results of Figure 3(a)
Precision	0.96	1.00	1.00	0.99
Recall	0.16	0.89	0.99	1.00
F1 score	0.27	0.94	1.00	0.99
(b) The results of Figure 3(b)
Precision	0.86	0.94	0.97	0.98
Recall	0.14	0.88	0.97	1.00
F1 score	0.25	0.91	0.97	0.99
(c) The results of Figure 3(c)
Precision	0.98	1.00	1.00	0.99
Recall	0.10	0.79	0.87	0.98
F1 score	0.17	0.88	0.93	0.99
(d) The results of Figure 3(d)
Precision	0.95	0.99	0.99	0.99
Recall	0.08	0.64	0.81	0.95
F1 score	0.15	0.78	0.89	0.97