Summarize results from model and findings to be presented about cherry-powdery-mildew-detector

[cla-cif]

Showcase result to the client in the streamlit dashboard
Summarize the results in the documentation

[cla-cif]

Page 1: Quick Project Summary

• Quick project summary
• Project Dataset
• Business requirements:
• Link to this Readme.md file for additional information about the project.

Page 2: leaves Visualizer

It will answer business requirement #1

• Checkbox 1 - Difference between average and variability image
• Checkbox 2 - Differences between average parasitised and average uninfected leaves
• Checkbox 3 - Image Montage
• Link to this Readme.md file for additional information about the project.

Page 3: Powdery mildew Detector

• Business requirement #2 and #3 information
• Link to download a set of parasite-contained and uninfected leaf images for live prediction
• User Interface with a file uploader widget.
• Table with the image name and prediction results.
• Download button to download the report in a .csv format.
• Link to this Readme.md file for additional information about the project.

Page 4: Project Hypothesis and Validation

• Block for each project hypothesis including statement, explanation, validation and conclusion.
• Link to this Readme.md file for additional information about the project.

Page 5: ML Performance Metrics

• Label Frequencies for Train, Validation and Test Sets
• Dataset percentage distribution among the three sets
• Model performance - ROC curve
• Model accuracy - Confusion matrix
• Model History - Accuracy and Losses of LSTM Model
• Model evaluation result on Test set