A robust and accurate AI-driven system as an assistance tool for snake species identification has vast potential to help lower deaths and disabilities caused by snakebites. With that in mind, we prepared the SnakeCLEF 2021: Automatic Snake Species Identification Challenge with Country-Level Focus, designed to provide an evaluation platform that can help track the performance of end-to-end AI-driven snake species recognition systems with a focus on overall country-wise performance. We have provided 386,006 photographs of 772 snake species collected in 188 countries and country-species presence mapping for the challenge. In this paper, we report 1) a description of the provided data, 2) evaluation methodology and principles, 3) an overview of...
International audienceBuilding accurate knowledge of the identity, the geographic distribution and t...
The outcome of snakebite is related to the biting species but it is often difficult to identify the ...
The paper presents the snake species identification by using natural language processing. It aims to...
The main goal of the third year of the SnakeCLEF challenge was to provide an evaluation platform tha...
Background: Snakebite envenoming is a neglected tropical disease that kills an estimated 81,000 to ...
The dataset with 409,679 images belonging to 772 snake species from 188 countries and all continents...
We trained a computer vision algorithm to identify 45 species of snakes from photos and compared its...
The secretive behavior and life history of snakes makes studying their biology, distribution, and th...
The secretive behavior and life history of snakes makes studying their biology, distribution, and th...
Species identification can be challenging for biologists, healthcare practitioners and members of th...
The paper presents a method for image-based snake species identification. The proposed method is bas...
The purpose of this project is to develop the application of classifying the snake species. The clas...
BACKGROUND:Snakebite envenoming is a major global health problem that kills or disables half a milli...
Background Snakebite envenoming is a major global health problem that kills or disables half a milli...
International audienceBuilding accurate knowledge of the identity, the geographic distribution and t...
The outcome of snakebite is related to the biting species but it is often difficult to identify the ...
The paper presents the snake species identification by using natural language processing. It aims to...
The main goal of the third year of the SnakeCLEF challenge was to provide an evaluation platform tha...
Background: Snakebite envenoming is a neglected tropical disease that kills an estimated 81,000 to ...
The dataset with 409,679 images belonging to 772 snake species from 188 countries and all continents...
We trained a computer vision algorithm to identify 45 species of snakes from photos and compared its...
The secretive behavior and life history of snakes makes studying their biology, distribution, and th...
The secretive behavior and life history of snakes makes studying their biology, distribution, and th...
Species identification can be challenging for biologists, healthcare practitioners and members of th...
The paper presents a method for image-based snake species identification. The proposed method is bas...
The purpose of this project is to develop the application of classifying the snake species. The clas...
BACKGROUND:Snakebite envenoming is a major global health problem that kills or disables half a milli...
Background Snakebite envenoming is a major global health problem that kills or disables half a milli...
International audienceBuilding accurate knowledge of the identity, the geographic distribution and t...
The outcome of snakebite is related to the biting species but it is often difficult to identify the ...
The paper presents the snake species identification by using natural language processing. It aims to...