The present application provides an image detection method, a model training method, an apparatus, a device, and a storage medium. The image detection method comprises: acquiring n face images; performing normalization processing on the n face images to obtain n input images; processing the mth input image by means of an attention module to obtain an attention image; processing the mth input image by means of a multi-scale encoder to obtain first feature information; processing the first feature information by means of a feature pyramid module to obtain second feature information; processing the attention image and the second feature information by means of a multi-scale decoding predictor to obtain indication information of a face key point corresponding to the mth input image; determining, according to indication information of face key points corresponding to the n input images, indication information of eye key points corresponding to the n input images; and determining a target drowsiness state according to the indication information of the eye key points respectively corresponding to the n input images.
IMAGE DETECTION METHOD, MODEL TRAINING METHOD, APPARATUS, DEVICE, AND STORAGE MEDIUM