Test method and system for intelligent sensing system, and electronic device

A test method for an intelligent sensing system, wherein the intelligent sensing system outputs a recognition result about a target based on to-be-recognized data input into the intelligent sensing system, the to-be-recognized data comprises a scenario and the target included in the scenario, and the method comprises:

• obtaining a plurality of test samples, wherein each sample comprises a score, a label and first data corresponding to the sample;
• performing the following steps on each sample:
• a. a performing scenario presentation on the first data to form to-be-recognized second data;
• b. inputting the to-be-recognized second data into the intelligent sensing system to obtain a recognition result output from the intelligent sensing system;
• and
• c. comparing the recognition result with the label to determine whether the recognition result is correct:
• in case that the recognition result is correct, taking the score as a first grade corresponding to a current sample from the intelligent sensing system;
• or in case that the recognition result is incorrect, taking zero as a first grade corresponding to a current sample from the intelligent sensing system;
• and
• dividing a sum of first grades corresponding to all samples by a sum of scores corresponding to all samples to obtain a second grade, wherein the second grade is used to evaluate a sensing capability of the intelligent sensing system.

A test system for an intelligent sensing system, wherein the intelligent sensing system is capable of outputting a recognition result about a target based on to-be-recognized data input into the intelligent sensing system, the to-be-recognized data comprises a scenario and the target included in the scenario, and the intelligent sensing system comprises:

• a sample module, used for obtaining a plurality of test samples, wherein each sample comprises a score, a label and first data corresponding to the sample;
• a loop module, used for performing the following steps on each sample:
• a. performing scenario presentation on the first data to form to-be-recognized second data;
• b. inputting the to-be-recognized second data into the intelligent sensing system to obtain a recognition result output from the intelligent sensing system;
• and
• c. comparing the recognition result with the label to determine whether the recognition result is correct:
• in case that the recognition result is correct, taking the score as a first grade corresponding to a current sample from the intelligent sensing system;
• or in case that the recognition result is incorrect, taking zero as a first grade corresponding to a current sample from the intelligent sensing system;
• and
• an evaluation module, used for dividing a sum of first grades corresponding to all samples by a sum of scores corresponding to all samples to obtain a second grade, wherein the second grade is used to evaluate a sensing capability of the intelligent sensing system.