# High Detail mode Processing Parameters

The Processing parameters control the way that images are processed by Green Classify Tool in High Detail mode. This is often called as ‘inference’ in deep learning. Processing with same models will always give you the same results.

Changing these parameters does not require the tool to be retrained; the effect can be seen right away by reprocessing the database.

There are two processing parameters in High Detail mode.

Parameters | Description
--- | ---
Threshold | The threshold parameter determines the minimum score of a view to be classified. Among the classes which have higher score than threshold value, a class with the largest score will be picked as a best tag. If all the classes have score that is equal to or less than 0, it will be noted as n/c(not-classified). Note: The default threshold for High Detail mode is 0% because it calculates the score for each tag in a different way from Focused mode. It is not usually recommended to adjust threshold value in High Detail mode.
Heat map | The “Heat map” in processing parameter is an option that allows user to check which area have been used as a clue to High Detail mode. You can use it as a debugging tool after generating the model with given data and ground truth tags(labels). If the Heat map sees different area with the defect in defect image, it might be better to train again to generate new model. CAUTION: Heat map is giving a clue for “bad or defect” image. So, do not care about the region that is pointed in the “good or normal” images. Heat map is not an accurate segmentation tool. The location of the red area could be different with what human think, so please refer it only for checking the tendency. Note: The size of workspace could be bigger if you use "heatmap" option in High Detail mode. This helps to find the clue inside the image, but it generated heat maps that consumes lots of storage . To make workspace smaller, process without heatmap again and save the workspace.