  C. elegans is commonly used in neuroscience for behaviour analysis because of
it's compact nervous system with well-described connectivity. Localizing the
animal and distinguishing between its head and tail are important tasks to
track the worm during behavioural assays and to perform quantitative analyses.
We demonstrate a neural network based approach to localize both the head and
the tail of the worm in an image. To make empirical results in the paper
reproducible and promote open source machine learning based solutions for C.
elegans behavioural analysis, we also make our code publicly available.
