Sharks and rays swimming in a large public aquarium

Large Public Aquaria are complex ecosystems that require constant
monitoring to detect and correct anomalies that may affect the habitat and
their species. Many of those anomalies can be directly or indirectly
spotted by monitoring the behavior of fish. This can be a quite laborious
task to be done by biologists alone. Automated fish tracking methods,
specially of the non-intrusive type, can help biologists in the timely
detection of such events. These systems require annotated data of fish to
be trained. We used footage collected from the main aquarium of Oceanário
de Lisboa to create a novel dataset with fish annotations from the shark
and ray species. The dataset has the following characteristics: 66 shark
training tracks with a total of 15812 bounding boxes 88 shark testing
tracks with a total of 15978 bounding boxes 133 ray training tracks with a
total of 28168 bounding boxes 192 ray testing tracks with a total of 31529
bounding boxes The training set corresponds to a calm environment where
fish swim slowly. On the other hand, the test set is a challenging
environment where divers enter the tank to feed the fish causing a frenzy.