[EN] Class3Dp is a software tool developed for supervised classification of photogrammetric point clouds. It allows the selection of training samples and classification of point clouds according to different features and machine learning models. Point clouds obtained from photogrammetric algorithms (e.g., Structure from Motion) include spectral information recorded in the image acquisition process using RGB, multispectral or hyperspectral sensors. The software extracts spectral and geometric features from the point clouds to be used for point classification., The financial support for its development has been provided by the grant BES-2017-081920 and the R&D&I projects CGL2016-80705-R and PID2020-117808RB-C21 funded by MCIN/AEI/10.13039/501100011033 and by "FSE Invierte en tu futuro".