Skip to main content

Table 5 Summary of data annotation and partitioning for the TAMU2015, UGA2015, and UGA2018 datasets

From: DeepSeedling: deep convolutional network and Kalman filter for plant seedling detection and counting in the field

DatasetTAMU2015UGA2015UGA2018
Total number of images220418951511
Number of training images180116031253
Number of validation images202146129
Number of testing images201146129
Total number of annotations (plant seedling/weed)21915 (21133/782)7802 (6849/953)5880 (5880/0)
Number of training annotations (plant seedling/weed)17939 (17290/649)6524 (5743/781)4862 (4862/0)
Number of validation annotations (plant seedling/weed)1964 (1911/53)643 (553/90)540 (540/0)
Number of testing annotations (plant seedling/weed)2012 (1932/80)635 (553/82)478 (478/0)
Number of videos for counting test252525