Skip to main content

Table 2 Per-category performance of the model generalizability at the \(\text {IOU}_{\text {0.5}}\)

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

Training set

Testing set

Plant AP

Plant AR100

Plant F1

Weed AP

Weed AR100

Weed F1

T15U15 training

UGA2018 testing

0.981

1.000

0.991

NA

NA

NA

UGA2018 training

UGA2018 testing

0.983

0.992

0.987

NA

NA

NA

T15U18 training

UGA2015 testing

0.676

0.814

0.739

0.027

0.553

0.052

UGA2015 training

UGA2015 testing

0.988

0.995

0.991

0.859

1.000

0.924

U15U18 training

TAMU2015 testing

0.911

0.940

0.925

0.266

0.775

0.396

TAMU2015 training

TAMU2015 testing

0.999

0.999

0.999

0.980

1.000

0.990