USER STORY: Data Visualization Tasks:

[Huddy2022]

As a client I want to visually differentiate between a healthy cherry leaf and one that has powdery mildew so that I can accurately identify and address any instances of powdery mildew in my cherry crop, leading to improved disease management and higher yield.

[Huddy2022]

Task 1: Compute the average image size from the train set.

• Action: Calculate the average image size of the cherry leaf images in the train set.

[Huddy2022]

Task 2: Generate image shape embeddings pickle file.

• Action: Extract the image shape embeddings from the cherry leaf images and save them as a pickle file.

[Huddy2022]

Task 3: Plot the mean and variability of images per label.

• Action: Calculate the mean and variability of the cherry leaf images per label (healthy and powdery mildew) and create a plot to visualize the results.

[Huddy2022]

Task 4: Plot to distinguish contrast between powdery mildew-contained and healthy cherry leaf images.

• Action: Create a plot that clearly shows the visual differences between powdery mildew-contained and healthy cherry leaf images.

[Huddy2022]

Task 5: Generate code for building an image montage on the Streamlit dashboard.

• Action: Develop code that can be used to build an image montage on the Streamlit dashboard to showcase the different types of cherry leaf images.