SnakeCLEF 2020 was designed to provide an evaluation plat- form that can help track the performance of end-to-end AI-driven snake species recognition systems. We have collected 287,632 images of 783 snake species from 145 countries.
SnakeCLEF 2020 was designed to provide an evaluation platform that can help track the performance of end-to-end AI-driven snake species recognition systems.
Isabelle Bolon Andrew Durso Rafael Luis Ruiz De Castaneda Lukás Picek. Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge.
Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge ; Anthology ID: DBLP:conf/clef/PicekBDC20; Volume: Working Notes of CLEF 2020 - ...
Sep 8, 2022 · Durso, S. P. Mohanty, Overview of the snakeclef 2020: Automatic snake species identification challenge, in: CLEF task overview 2020, CLEF:.
Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge. ... SnakeCLEF 2020: AutomaticSnake Species Identification Challenge. %U ...
Building a robust and accurate AI-driven system for automatic snake species identification is an important goal for biodiversity and global health. ... SnakeCLEF ...
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The goals and usage of image-based snake identification are complementary with those of other challenges: classifying snake species in images, predicting ...
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Overview of the SnakeCLEF 2020: Automatic snake species identification challenge. L Picek, R Ruiz De Castaneda, AM Durso, PM Sharada. CLEF task overview , 2020.
snakeclef 2020: Automatic snake species identification challenge. In: CLEF task overview 2020, CLEF: Conference and Labs of the Evaluation Forum, Sep. 2020,.