Overview of SnakeCLEF 2024: Revisiting Snake Species Identification in Medically Important Scenarios

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43972939" target="_blank" >RIV/49777513:23520/24:43972939 - isvavai.cz</a>

Výsledek na webu

<a href="https://ceur-ws.org/Vol-3740/paper-188.pdf" target="_blank" >https://ceur-ws.org/Vol-3740/paper-188.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Overview of SnakeCLEF 2024: Revisiting Snake Species Identification in Medically Important Scenarios

Popis výsledku v původním jazyce

The SnakeCLEF challenge serves as a major benchmark for evaluating the performance of AI-driven methods in snake species recognition on a global scale. The 5th edition of the SnakeCLEF challenge builds on last year&apos;s training data and extends the test set with new data from private collections originating from southern Africa. Similar to last year, SnakeCLEF 2024 focuses on (i) evaluating incremental improvements in automatic snake species identification, (ii) testing global generalization in three specific scenarios: India, Central America, and southern Africa, and (iii) assessing the impact of uneven error costs, such as mistaking a venomous snake for a harmless one. In this paper, we highlight the crucial importance of a robust automatic snake identification system, especially in resource-limited environments and in neglected regions, and its potential benefits for biodiversity conservation and global health. We present (i) a detailed description of the provided data, (ii) the evaluation methodology, (iii) an overview of the submitted methods, and (iv) insights gained from the results. © 2024 Copyright for this paper by its authors.

Název v anglickém jazyce

Overview of SnakeCLEF 2024: Revisiting Snake Species Identification in Medically Important Scenarios

Popis výsledku anglicky

The SnakeCLEF challenge serves as a major benchmark for evaluating the performance of AI-driven methods in snake species recognition on a global scale. The 5th edition of the SnakeCLEF challenge builds on last year&apos;s training data and extends the test set with new data from private collections originating from southern Africa. Similar to last year, SnakeCLEF 2024 focuses on (i) evaluating incremental improvements in automatic snake species identification, (ii) testing global generalization in three specific scenarios: India, Central America, and southern Africa, and (iii) assessing the impact of uneven error costs, such as mistaking a venomous snake for a harmless one. In this paper, we highlight the crucial importance of a robust automatic snake identification system, especially in resource-limited environments and in neglected regions, and its potential benefits for biodiversity conservation and global health. We present (i) a detailed description of the provided data, (ii) the evaluation methodology, (iii) an overview of the submitted methods, and (iv) insights gained from the results. © 2024 Copyright for this paper by its authors.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/SS05010008" target="_blank" >SS05010008: Detekce, identifikace a monitoring živočichů pokročilými metodami počítačového vidění</a><br>

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

CEUR Workshop Proceedings

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

12

Strana od-do

1989-2000

Název nakladatele

CEUR-WS

Místo vydání

neuveden

Místo konání akce

Grenoble, France

Datum konání akce

9. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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