LeafSense presents a research concept for classifying tomato leaf images into healthy and disease categories.
Make an image classification project easy to understand through a focused website: explain the problem, introduce the workflow, and demonstrate the proposed user experience.
This website is a client presentation prototype. A trained model, verified dataset and measured evaluation results have not been supplied.
Five connected pages, responsive layouts, a condition library and an interactive prediction demonstration.
Try the interface →Collect labeled leaf images, review the categories, and create separate training and evaluation sets.
Train an image classifier and assess its performance using held-out images. Publish actual findings when available.
Integrate a model service with the upload interface and show its output with clear limitations.