Systems and methods for generating a neural network model for image processing

A system for generating a neural network model for image processing, comprising:

• at least one client terminal;
• at least one server;
• and
• a network configured to facilitate communication between the at least one client terminal and at least one server device in the system;
• wherein
• the at least one server device includes at least one processor and at least one storage device storing a set of instructions, the at least one processor being in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to cause the system to:
• receive, by the at least one processor, a plurality of first training samples from the at least one client terminal;
• train, by the at least one processor, a first neural network model using the plurality of first training samples to generate a second neural network model;
• transmit, by the at least one processor, the second neural network model to the at least one client terminal;
• generate, by the at least one client terminal, a first test result of the second neural network model received from the at least one server device;
• and
• determine, by the at least one processor, the second neural network model as a target neural network model for image processing in response to a determination that the first test result satisfies a first condition.

A method for generating a neural network model for image processing by interacting with at least one client terminal implemented on a computing device having one or more processors and a computer-readable storage medium, the method comprising:

• receiving, via a network, a plurality of first training samples from the at least one client terminal, wherein each of the plurality of first training samples includes a first initial image and a first processed image with respect to the first initial image, the first processed image being generated by the at least one client terminal via processing the first initial image using a third neural network model;
• training a first neural network model based on the plurality of first training samples to generate a second neural network model;
• transmitting, via the network, the second neural network model to the at least one client terminal;
• and
• determining the second neural network model as a target neural network model for image processing.