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Step 10 Click the Close button to close the Training Data dialog box.
Stage 3 Data Exploration
Data exploration involves analysing and visualizing the dataset to understand its structure, content, and features.
The goal is to ensure the data is ready for modelling. The steps for data exploration are as follows:
Step 11 Drag and drop the Image Viewer widget onto the canvas.
Step 12 Connect the Training Data to the Image Viewer.
Step 13 Double-click the Image Viewer widget to view the images in the training dataset.
This step ensures that the images are correctly loaded and categorised into the two classes:
• Bleached
• Unbleached
Step 14 Click the Close button to close the Image Viewer dialog box.
Step 15 Drag and drop the Image Embedding widget onto the canvas.
Step 16 Connect the Training Data to Image Embedding to extract image features and represent them as
embeddings (numerical feature vectors).
Step 17 Drag and drop the Data Table widget onto the canvas.
Step 18 Connect the Image Embedding widget to the Data Table.
Computer Vision (Practical) 337

