Information
Contact Name: Mohamed Hedeya
Email: mohamed.hedeya@eng.psu.edu.eg
Organization: Port Said University
Method's Name: Augmented RXD Super Learner
Reference: Anonymous
Project Website:
Evaluation Metrics

Precision of each category :

$$ Pre_i = \frac{TP_i}{TP_i + FP_i}$$


Articulated Truck Bicycle Bus Car Motorcycle Non-motorized Vehicle Pedestrian Pickup Truck Single Unit Truck Work Van Background
0.9230 0.9239 0.9737 0.9844 0.9458 0.7160 0.9620 0.9443 0.8149 0.9513 0.9976

Recall of each category:

$$ Rec_i = \frac{TP_i}{TP_i + FN_i}$$


Articulated Truck Bicycle Bus Car Motorcycle Non-motorized Vehicle Pedestrian Pickup Truck Single Unit Truck Work Van Background
0.9219 0.8722 0.9779 0.9894 0.9172 0.6621 0.9374 0.9370 0.8219 0.8947 0.9979

Accuracy: 0.9794

$$ Acc = \frac{TP}{Number of Testing Images}$$


Mean Recall: 0.9027

$$ {mRec} = {\rm mean}({Rec_i})$$


Mean Precision: 0.9215

$$ {mPre} = {\rm mean}({Pre_i})$$


Cohen Kappa Score: 0.9678

Confusion Matrix (%):

Predicted
Articulated Truck Bicycle Bus Car Motorcycle Non-motorized Vehicle Pedestrian Pickup Truck Single Unit Truck Work Van Background
True Articulated Truck 92.19 0.00 0.77 0.39 0.00 0.58 0.00 0.12 5.26 0.19 0.50
Bicycle 0.00 87.22 0.18 0.88 2.10 1.05 7.71 0.18 0.18 0.00 0.53
Bus 0.31 0.00 97.79 0.66 0.00 0.12 0.00 0.93 0.08 0.12 0.00
Car 0.00 0.00 0.03 98.94 0.00 0.01 0.00 0.92 0.00 0.08 0.01
Motorcycle 0.00 0.61 0.00 2.83 91.72 2.63 0.20 0.00 0.40 0.40 1.21
Non-motorized Vehicle 10.50 0.23 1.37 1.37 0.00 66.21 0.46 1.14 12.56 2.97 3.20
Pedestrian 0.00 2.30 0.00 0.32 0.89 0.26 93.74 0.06 0.00 0.06 2.36
Pickup Truck 0.01 0.00 0.01 6.03 0.00 0.07 0.00 93.70 0.13 0.06 0.00
Single Unit Truck 9.69 0.00 0.31 0.78 0.00 1.17 0.00 3.28 82.19 1.80 0.78
Work Van 0.21 0.00 0.54 6.94 0.00 0.62 0.04 1.03 0.91 89.47 0.25
Background 0.03 0.00 0.01 0.04 0.00 0.08 0.03 0.00 0.01 0.02 99.79