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In October, 2022 a new machine learning model for fishing activity and dark rendezvous was released in Skylight. This single model classifies AIS track segments into one of three exclusive classes: fishing activity, dark rendezvous, or neither. This is a change from the previous binary models that predicted fishing and dark rendezvous separately. As a result of the new three-class model, there are no longer instances where track segments are identified as both dark rendezvous and fishing. So instances like the below screen shot where the PROFESSOR LOGACHEV is shown as being involved in Fishing activity and a Dark Rendezvous simultaneously at exactly the same time on the same track segment, can no longer occur.
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Note, there will be times when the fishing and dark rendezvous events are detected on different track segments at different times; in these instances both a fishing and dark rendezvous event will be generated.
In addition to preventing overlapping fishing and dark rendezvous events, this new model improves the confidence in dark rendezvous events since the model can detect the difference between fishing and dark rendezvous. The previous binary machine learning model for dark rendezvous had not been trained with fishing data, so it would mistakenly classify fishing activity as dark rendezvous. The result is fewer dark activity events are predicted globally, but they are more likely to have occurred than dark rendezvous predicted with the previous model.
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