SnakeCLEF 2021

Title:

SnakeCLEF 2021

Creator:

Picek, Lukáš, Bolon, Isabelle, Durso, Andrew M., and Castañeda, Rafael Ruiz de

Contributor:

Ministerstvo školství, mládeže a tělovýchovy České republiky@@LM2018101@@LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy@@nationalFunds@@, SGS-2019-02@@University of West Bohemia@@Studentská Grantová Soutež@@Other@@, and Universitaires de Genève@@QS04-20@@Fondation privée des Hôpitaux Universitaires de Genève@@nationalFunds@@

Publisher:

CEUR Workshop Proceedings (CEUR-WS.org)

Identifier:

http://hdl.handle.net/20.500.12800/1-4773

Subject:

LifeCLEF, SnakeCLEF, global health, epidemiology, snake bite, snake, reptile, benchmark, biodiversity, machine learning, computer vision, and Classification

Type:

IMAGE and corpus

Description:

The dataset with 409,679 images belonging to 772 snake species from 188 countries and all continents (386,006 images with labels targeted for development and 23,673 images without labels for testing). In addition, we provide a simple train/val (90% / 10%) split to validate preliminary results while ensuring the same species distributions. Furthermore, we prepared a compact subset (70,208 images) for fast prototyping. The test set data consists of 23,673 images submitted to the iNaturalist platform within the "first four months of 2021. All data were gathered from online biodiversity platforms (i.e., iNaturalist, HerpMapper) and further extended by data scraped from Flickr. The provided dataset has a heavy long-tailed class distribution, where the most frequent species (Thamnophis sirtalis) is represented by 22,163 images and the least frequent by just 10 (Achalinus formosanus).

Language:

No linguistic content

Rights:

BSD 3-Clause "New" or "Revised" license
http://opensource.org/licenses/BSD-3-Clause
PUB

Relation:

https://dspace5.zcu.cz/bitstream/11025/47274/1/paper-125.pdf

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2021-01-01