ArticleFrontiers in artificial intelligence2021
Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health.
Article in Frontiers in artificial intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Predictive Modeling of Healthcare Workers' Priorities of the WHO 2030 Key Activities for Snakebite Prevention and Control in Ghana.Journal of tropical medicine · 2026Article
- A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards.Frontiers in artificial intelligence · 2025Article
- Batch-Mask: Automated Image Segmentation for Organisms with Limbless or Non-Standard Body Forms.Integrative and comparative biology · 2022Article
- An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology.PLoS neglected tropical diseases · 2022Article
- Phototank setup and focus stack imaging method for reptile and amphibian specimens (Amphibia, Reptilia).ZooKeys · 2022Article
- Citizen science and online data: Opportunities and challenges for snake ecology and action against snakebite.Toxicon: X · 2021Article
- Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts.Royal Society open science · 2021Article
- Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives.Frontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We trained a computer vision algorithm to identify 45 species of snakes from photos and compared its performance to that of humans. Both human and algorithm performance is substantially better than randomly guessing (null probability of guessing correctly given 45 classes = 2.2%). Some species (e.g.,
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Registered trials
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