Résumé
Studentská vědecká konference je pořádána s podporou prostředků na specifický vysokoškolský výzkum SVK1-2018-024.
Automated identification of plants has improved considerably in the last few years thanks to recent research in Deep Learning. In the scope of LifeCLEF2, there has been measured an impressive identification performance achieved mainly with Deep models. This raises the question of how far automated systems are from human expertise. Main problem for both of them is that a picture contains only a partial information about the observed plant and its often not sufficient to determine the right species. For instance, a decisive organ such as flower or fruit, might be or might not be present on the picture. As a consequence, even the best experts can be confused and/or disagree between each other when attempting to identify a plant from a set of pictures.