Abstract: A light-emitting diode includes an epitaxial layered structure, a reflective layered unit, and a light-transmissive structure. The epitaxial layered structure has opposite upper and lower surfaces and a side surface interconnecting the upper and lower surfaces. The reflective layered unit is disposed on the lower surface of the epitaxial layered structure. The light-transmissive structure covers the upper surface of the epitaxial layered structure and a portion of the side surface of the epitaxial layered structure, and is configured to allow light emitted from the epitaxial layered structure to exit therefrom at a light-exit angle of not smaller than 125°.

Abstract: The present disclosure provides a method for training a feature extraction model, a method for classifying an image and related apparatuses, and relates to the field of artificial intelligence technology such as deep learning and image recognition. The scheme comprises: extracting an image feature of each sample image in a sample image set using a basic feature extraction module of an initial feature extraction model, to obtain an initial feature vector set; performing normalization processing on each initial feature vector in the initial feature vector set using a normalization processing module of the initial feature extraction model, to obtain each normalized feature vector; and guiding training for the initial feature extraction model through a preset high discriminative loss function, to obtain a target feature extraction model as a training result.