This paper describes the participation of the MindLab research group of Universidad Nacional de Colombia at the ImageCLEF 2014 Scalable Concept Image Annotation challenge. Our strategy mainly relies in finding a good visual representation based on deep convolutional neural networks. Despite the simplicity of the proposed classifier which allows to deal with the large-scale nature of this task, we can achieve good performance (our proposed approach achieved the best MAP) thanks to the rich visual representation based on learned features.