Detecting system and detecting method for image segmenting and classification

A detecting method comprising:

• capturing a first target object to generate a first image;
• detecting the first image;
• training a first model by using the first image;
• capturing a second target object different from the first target object to generate a second image when training the first model by using the first image;
• training the first model by using the second image after training the first model by using the first image;
• segmenting a third image to generate a plurality of first segmented images;
• selecting a first segmented image from the plurality of first segmented images;
• extracting a first template from the first image;
• generating a second template based on the first template;
• merging the second template and the first segmented image into a fourth image;
• and
• training a second model different from the first model by using the fourth image.

A method comprising:

• generating a first image according to a first target object;
• training a first model according to the first image and generating a second image according to a second target object different from the first target object simultaneously;
• training the first model according to the second image after training the first model according to the first image;
• segmenting a third image to generate a plurality of first segmented images;
• selecting a first segmented image from the plurality of first segmented images;
• extracting a first template from the first image;
• generating a second template according to the first template;
• merging the second template and the first segmented image into a fourth image;
• and
• training a second model different from the first model according to the fourth image.