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Table 2 Comparing results of 3 m images

From: Unsupervised Bayesian learning for rice panicle segmentation with UAV images

ImageRecallPrecision\(F_1\) score
BayesianP-SEGk-meansBayesianP-SEGk-meansBayesianP-SEGk-means
10.97350.68110.87010.59250.67180.28960.73670.67640.4346
20.98470.71400.83410.64270.60600.43410.77780.65560.5710
30.97880.85800.71510.83820.73140.57520.90300.78970.6375
40.99150.77610.85080.69290.78490.39300.81580.78050.5377
50.95460.73740.61880.83480.79460.65440.89070.76490.6361
60.89770.76210.70370.90790.81230.57750.90280.78640.6344