The University of Melbourne
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DLC and SLEAP pre-trained exported models

Four pre-trained zebrafish larvae pose estimation networks using DLC (ResNet-50 and ResNet-152) and SLEAP (single instance and topdown). The pose model comprises of 15 keypoints: two in each eye (anterior and posterior edges), 1 point in the swim bladder, and 10 points across the tail. The networks were trained with the same dataset of 1641 annotated frames.

Funding

The influence of conscious state on cortical processing and perception

Australian Research Council

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The physics and biology of hearing in larval fish

Australian Research Council

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Brain states and their roles in evasive behaviour

Australian Research Council

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Assessing the structure and function of brain-wide sensory networks

National Health and Medical Research Council

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National Institutes of Health, R01NS118406

Simons Foundation, https://ror.org/01cmst727, 625793

University of Queensland, https://ror.org/00rqy9422, RTP Scholarship

History