The invention discloses a digestive tract endoscope image processing method and device, a storage medium, equipment and a system, belongs to the technical field of artificial intelligence, and relatesto a computer vision technology and a machine learning technology. The digestive tract endoscope image processing method comprises the following steps: acquiring a to-be-detected digestive tract endoscope image; classifying the digestive tract endoscopic images to be detected based on a first model, the first model being obtained by training based on a first training data set under the constraintof a second model, the first training data set comprising a pure data set and a noise data set, and the second model being obtained by training based on a second training data set before training thefirst model; wherein the pure data set comprises sample images with consistent annotations, and the noise data set comprises sample images with inconsistent annotations, and the second training dataset is a subset of the first training data set and comprises a pure data set, and the sample images are digestive tract endoscope images. According to the digestive tract endoscope image processing method, the training data volume is increased, and meanwhile, the influence of label labeling errors on the model prediction accuracy can be reduced.