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Computer vision model performance for identifying lookalike venomous and non-venomous snake species in Sub-Saharan Africa (<i>Bitis spp</i>. vs. <i>Echis spp</i>. vs. <i>Causus spp</i>. vs. <i>Dasypeltis spp</i>.).

Domain:

healthcare

Record type:

paper
Creator:
IsaLukAndGab
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All species in these genera from the training data were included. A Confusion matrix of the classification results of the model on lookalike snake species with the percentage (blue colour code) of correctly (diagonal cells) and incorrectly (off-diagonal cells) classified images, B Geographic range of the relevant snake genera based on [25], C Representative photos of some of the lookalike snake species tested with the model. The map was drawn using R package rworldmap v 1.3.6 [26]. See S8 Data for panel A underlying values.

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