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

Result code in 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>
Result on the web
<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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Result language
angličtina
Original language name
Overview of SnakeCLEF 2024: Revisiting Snake Species Identification in Medically Important Scenarios
Original language description
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'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.
Czech name
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Czech description
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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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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