# Markings Returned by Green Classify

The Green Classify tool provides a list of available class tags alongside their likely matches.

## Markings and Results

After the classification tags have been applied, and the tool has been trained, you can review the results to ensure that the tool correctly marked the images.

The label (aka tag), in white text, represents the "actual" class, and the marking Image markings are annotations produced by the VisionPro Deep Learning tools. The markings produced by a tool are the "answers" that the tool obtained when it processed a specific image. You validate the performance of the tool by comparing the markings produced by the tool with the labels that you applied to the same image. As with labels, the specific markings produced depend on the tool., in yellow, represents the "predicted" class returned by the tool.

Labeled | Not labeled
This indicates that the image was labeled as Grizzly (the white text), and the tool marked it as Grizzly with a 96.4% certainty that the correct tag is "Grizzly," while it has a 3.6% certainty that the correct tag is "Bauble." | This indicates where an image was not labeled, and the tool marked the image.

Trained | Mismatch
The green text indicates that the image was used as a training Training is the process that your tool, which is a neural network, is learning about the features (pixels) based on the labels you made. For example, a tool will learn the defect/normal pixels in each image based on the defect/normal labels you drew. The goal of the tool Training is learning enough to give the correct inspection results of whether an unseen image is defective or not. The key to training is to ensure that you include all possible variations within your training set, and that your images are accurately labeled. Training times vary by the application, tool setup and the GPU in the PC being used to train the network. image. | The red indicates a mismatch, where the label (the white text) and the marking (in yellow) are in disagreement. The tool is reporting with 98.3% certainty that the correct tag is "Beef" while the label is "Bauble."

## Overlay Checkbox

The 2 tables above are shown back and forth or side by side, with the overlay graphics of labels and markings, whenever you press Alt + Left/Right () or enable each checkbox (Labels and Markings) on Overlay Checkbox.

## Heatmap

Green Classify provides Heatmap for each view A view of an image is a region of pixels in an image. Tool processing is limited to the pixels within the view. You can manually specify a view, or you can use the results of an upstream tool to generate a view. which gives the clues of classification the tool produced.

Green Classify Standard projects the heat map directly onto the image viewer when you enable both the Heat Map checkbox in Processing Parameter and Heat Map in Overlay Checkbox.