Förbättring av ett program för att räkna bladskärarmyror
Date
Authors
Type
Examensarbete på kandidatnivå
Programme
Model builders
Journal Title
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Volume Title
Publisher
Abstract
his project explored how to improve upon an existing program for counting leaf cutting ants. The original program could count the number of ants but could not
distinguish between the different types of leaf-cutting ants (soldier, worker and mi nis). The main goal of this project was to count and classify each of the different
ant types. Both the original program and our expansion of it analysed videos of ants
filmed from above to count ants.
A leaf-cutting ant colony at Universeum in Gothenburg was filmed and used as
source material. Due to uncertainties if the mini ant type appeared in the source
material, ants were only classified as worker or soldier.
The classification was done with two methods, one based on analysing the ant’s size
and the dominant colour, the other based on machine learning where three different
models was used. Results from the different methods varied, with no method able to
discern the soldier ants with great precision. The reason for the classification issues
with soldier ants could be because of low film quality, low ant type variation or a
lack of training data for the machine learning models.