Table 11 Results of each version of YOLOv11 on evaluation set (1,438 images), plus training time (100 epochs).

From: A comprehensive analysis of YOLO architectures for tomato leaf disease identification

Model

Class

Precision

Recall

mAP@50

mAP@50:95

Speed (ms)

Training time (hours)

YOLOv11n

Late blight

0.844

0.824

0.872

0.554

2.1

0.570

Leaf miner

0.839

0.610

0.754

0.473

Magnesium deficiency

0.856

0.839

0.887

0.628

Nitrogen deficiency

0.797

0.789

0.839

0.572

Potassium deficiency

0.814

0.806

0.834

0.608

Spotted wilt virus

0.863

0.768

0.851

0.555

All

0.835

0.773

0.840

0.565

YOLOv11s

Late blight

0.877

0.864

0.909

0.659

3.7

0.679

Leaf miner

0.904

0.755

0.862

0.604

Magnesium deficiency

0.910

0.894

0.941

0.745

Nitrogen deficiency

0.931

0.804

0.889

0.688

Potassium deficiency

0.922

0.860

0.919

0.737

Spotted wilt virus

0.932

0.847

0.916

0.678

All

0.913

0.837

0.906

0.685

YOLOv11m

Late blight

0.927

0.892

0.944

0.739

4.9

0.962

Leaf miner

0.923

0.820

0.901

0.681

Magnesium deficiency

0.945

0.893

0.942

0.788

Nitrogen deficiency

0.925

0.826

0.906

0.744

Potassium deficiency

0.890

0.886

0.929

0.805

Spotted wilt virus

0.933

0.872

0.927

0.744

All

0.924

0.865

0.925

0.750

YOLOv11l

Late blight

0.913

0.887

0.933

0.765

5.8

1.227

Leaf miner

0.920

0.840

0.909

0.698

Magnesium deficiency

0.939

0.897

0.941

0.799

Nitrogen deficiency

0.912

0.821

0.903

0.748

Potassium deficiency

0.955

0.921

0.965

0.852

Spotted wilt virus

0.945

0.890

0.941

0.767

All

0.931

0.876

0.932

0.771

YOLOv11x

Late blight

0.939

0.921

0.952

0.778

7.9

1.635

Leaf miner

0.938

0.862

0.923

0.731

Magnesium deficiency

0.951

0.902

0.947

0.822

Nitrogen deficiency

0.955

0.828

0.912

0.771

Potassium deficiency

0.911

0.895

0.937

0.841

Spotted wilt virus

0.947

0.895

0.942

0.795

All

0.940

0.884

0.936

0.790