SunilGolden / Tomato-Leaf-Disease-Classifier

Tomato Leaf Disease Classification

Model Comparison

Model	Feature Extractor	Classifier	Accuracy	Precision	Recall	F1 Score
1	VGG 16	Neural Network	0.94749	0.95002	0.94749	0.94749
2	ResNet152V2	Neural Network	0.96808	0.96923	0.96808	0.96808
3	InceptionV3	Neural Network	0.95573	0.9566	0.95573	0.95573
4	MovileNetV2	Neural Network	0.92587	0.93218	0.92587	0.92587
5	Convolutional Network	Neural Network	0.94063	0.9439	0.94063	0.94063
6	VGG 16	XGBoost	0.87405	0.87213	0.87405	0.87405

Data Summary

Citation
Huang, Mei-Ling; Chang, Ya-Han (2020), “Dataset of Tomato Leaves”, Mendeley Data, V1, doi: 10.17632/ngdgg79rzb.1