Outcomes

Outcomes


HoneyCombMarker

HoneyCombMarker, Nº 2764/2018 - IGAC. 2018

Is a computer program whose purpose is to allow the manual annotation in digital images of honeycomb cells in order to build datasets for being used in machine learning models. The program presents some user assistance features to achieve accurate, precise and fast markings. It is possible to annotate the following cell classes: eggs, larvae, capped cells, nectar, pollen, honey, and void. This computer program resulted from the cooperation between CEDRI and CIMO, Mountain Research Center.



HoneyCombMarker

DeepBee, N.º 2765/2018 - IGAC. 2018

Is a computer program based on a deep learning model, trained from 60,000 images by an artificial intelligence system, whose purpose is to automatically classify and count the cells present in digital pictures of hive combs. It is possible to recognize the following cell classes: eggs, larvae, capped cells, nectar, pollen, honey, and void. This computer program resulted from the cooperation between CEDRI and CIMO, Mountain Research Center.