29 September 2024 to 5 October 2024
Monopoli (BA)
Europe/Rome timezone

Classification of Order and Species of Mosquitoes

4 Oct 2024, 10:40
20m
Monopoli (BA)

Monopoli (BA)

Resort Porto Giardino
Hackathon project proposal Hackathon

Description

Conventional manual counting methods for the monitoring of mosquito species and populations can hinder the accurate determination of the optimal timing for pest control in the field. In this exercise is required to train a deep learning-based automated image analysis algorithm, for a two-fold task: the classification of different species and order of mosquito, based on a professionally made dataset of mosquitos photographs from multiple species.

Machine learning methods

CNN

Project proposal: general context

Deep Neural Network base don CNN architectures, multi-classification taks, application on medical physics

Project proposal: description of the problem

Analysis and preprocessing of the dataset (highly unbalanced among species), identification of the correct deep learning architecture, two tasks - two loss training, analysis of performances

Goal and FOM

confusion matrix, accuracy, precision, recall, F1 score

Input dataset

input data in image format

Primary authors

Andrea Ciardiello (Istituto Nazionale di Fisica Nucleare) Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)

Presentation materials