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Bring back occurrence tracking #457

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@mihow

Occurrence tracking was never fully migrated from the AMI offline desktop app to the AMI platform. Currently every occurrence has a 1:1 relationship with a detection. Some design is needed to determine at what stage of the pipeline tracking runs and after which images are processed, since we now support multiple backends and parallel processing. It would be ideal to have a dedicated similarity model to generate a feature vector. Currently we are using the last layer output of the active species classifier.

For implementation approaches, refer the clustering algorithm currently in testing #774

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  1. added this to the Internal Beta V2 Release milestone on Jul 9, 2024
  2. mihow commented on Sep 19, 2024

    @mihow
    CollaboratorAuthor

    Consider SAM2 for a general tracking algorithm
    https://ai.meta.com/sam2/

  3. self-assigned this
    on Sep 19, 2024
  4. f-PLT commented on May 26, 2025

    @f-PLT
    Contributor
  5. added
    post-processingPost-processing task framework and tasks: size filter, class masking, rank rollup, tracking
    on Jun 23, 2026
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post-processingPost-processing task framework and tasks: size filter, class masking, rank rollup, tracking

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