Overview of SnakeCLEF 2023: Snake Identification in Medically Important Scenarios

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969634" target="_blank" >RIV/49777513:23520/23:43969634 - isvavai.cz</a>

Result on the web

<a href="https://ceur-ws.org/Vol-3497/paper-168.pdf" target="_blank" >https://ceur-ws.org/Vol-3497/paper-168.pdf</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Overview of SnakeCLEF 2023: Snake Identification in Medically Important Scenarios

Original language description

Developing an effective automatic system for snake species identification has significant importance for biodiversity, conservation, and global health. Snakebites result in over half a million deaths and disabilities worldwide each year, highlighting the urgent need for a system to enhance co-epidemiological data and improve treatment outcomes, especially in remote regions that lack the necessary expertise and data but have high snake diversity and a high incidence of snakebites. The SnakeCLEF challenge provide an evaluation ground that helps track the performance of AI-driven methods for snake species recognition systems on a global scale. The fourth edition of the SnakeCLEF challenge focuses on (i) evaluation of gradual improvements in automatic snake species identification, (ii) testing worldwide generalization on two specific scenarios, i.e., India and Central America, and (iii) evaluation with uneven costs for different errors, such as mistaking a venomous snake for a harmless one. This paper showcases the vital role of a robust automatic identification system for snakes, particularly in regions with limited resources, and highlights the potential impact on biodiversity conservation and global health outcomes. We report (i) a comprehensive description of the provided data, (ii) an evaluation methodology, (iii) an overview of the submitted methods, and (iv) perspectives derived from the achieved results.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

<a href="/en/project/SS05010008" target="_blank" >SS05010008: Detection, identification and monitoring of animals by advanced computer vision methods.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CEUR Workshop Proceedings

ISBN

—

ISSN

1613-0073

e-ISSN

—

Number of pages

14

Pages from-to

1982-1995

Publisher name

CEUR-WS

Place of publication

Thessaloniki

Event location

Thessaloniki, Řecko

Event date

Sep 18, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—