# Green Classify Tool

| The Green Classify tool is used to identify and classify an object, or the entire scene, in an image. It can also be used to sort objects or gate further analysis. Once a Green Classify tool has been trained, it will assign a tag to the image, which the tool uses to assign a class to an image. The tag is represented by a label, and is given a percentage declaring the certainty the tool has for the classification it has assigned. There are two types of architecture are used for Green Classify; High Detail mode and Focused mode. High Detail mode and Focused mode use different architecture, so there are some differences in tool parameter options. And because of the different architecture, the results and time spent for training/processing are different. Please see below chart and use them for the right purposes.
| High Detail mode | Focused mode
--- | --- | ---
Pros and Cons | Slow but more accurate result | Less accurate but fast feedback
There are a few ways the tool's classification capabilities can be used: It can be used to simply classify an object in an image, such as Part A, Part B, Part C, etc. In addition, it can be used as a gating tool, where it is used prior to other tools performing inspections downstream. For example, the Green Classify tool determines that it is Part B, which has a Red Analyze tool that performs further inspection, whereas if it was Part C, a Blue Locate tool would count features. It can be used downstream of a Red Analyze tool to classify the types of defects that were encountered, or after a Blue Locate tool to classify the type of Model that produced a particular View. To use the tool, you provide a Training Set and then tag the images with an appropriate label. Once the images are labeled, train the tool. Then validate the tool by using images that were not used during training.

Note: For more information about configuring the Green Classify tool, see the Using the Green Classify Tool topic.