Method and apparatus for adaptive model network on image recognition

Techniques for forming, designing, generating or building up recognizers using recursive qualifications are described, where the recognizers can be used in any devices or systems with recognition capabilities, such as robotic vision systems, motion detections, artificial intelligence and driverless vehicles. Through respective and recursive observations on a set of actual data, recognizers are generated to reduce the inconsistencies among the observations to produce better recognition accuracies.