Automatic classification of cichlid behaviors using 3D Convolutional Residual Networks. Lijiang Long

Published: 22 September 2020| Version 1 | DOI: 10.17632/3hspb73m79.1
Contributor:
Lijiang Long

Description

This dataset contains 14172 short video clips which recorded cichlids behaviors including feeding and bower building. Along with the clips, there is an annotation file 'AnnotationFile.csv' where each video clip is annotated by an experienced human observer. In short, each video clip was classified into one of the ten categories: Bower scoop (c), Bower spit (p), Bower multiple (b), Feeding scoop (f), Feeding spit (t), Feeding multiple (m), Spawn/quiver (s), Sand dropping (d), Other (o), Shadow/reflection (x).

Files

Institutions

  • Georgia Institute of Technology

Categories

Animal Behavior, Machine Learning, Deep Learning

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