Abstract: A fatigue detecting method includes: obtaining an eye image of a driver (S101); inputting the eye image into a target convolutional neural network, to obtain eye-state data contained in the eye image, wherein the eye-state data represents a degree of opening of an eye of the driver, and the target convolutional neural network is obtained by training a convolutional neural network by using eye-image samples that are collected in advance (S102); and in a condition that respective eye-state data of a plurality of frames of eye images are obtained, according to the respective eye-state data of the plurality of frames of eye images, determining whether the driver is in a fatigue state (S103). Therefore, the method can more easily determine whether the driver is in the fatigue state, and, by using the target convolutional neural network, can realize real-time detection on whether the driver is in the fatigue state.