In this paper we propose a new General Image DataBase (GIDB) model. The model establishes taxonomy based on the systematisation of existing approaches. The GIDB model is based on the General Image Data model [1] and General Image Retrieval model [2]. The GIDB model uses the powerful features offered by objectoriented modelling, the elegance of the relational databases, the state of art of computer vision and the current methods for knowledge representation and management to achieve effective image retrieval. The developed language for the model is a hybrid between interactive and descriptive query languages. The ideas of the model can be used in the design of image retrieval libraries for an object-oriented database. As an illustration the results of applying the GIDB model to a plant database in the Sofia Image Database Management System are presented.