Comments (2)
I like this public presentation of blue whale models by the Monterey Bay Aquarium Research Institute that builds on their AWS open data registry.
I wonder if we could do something similar, but with versioning to track what training data were used for each model iteration. The MBARI folks seem to have indicated such details via HTML footnotes.
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At the same time models are versioned and shared, we might consider customizing a Responsible AI License RAIL to go with them.
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Related Issues (20)
- Add longer time periods to Dashboard filter
- For aged authentication, UI confirms moderation, but queue is unchanged HOT 1
- Add "tag" as a parameter in OrcaHello API
- Add new hydrophones to ML pipeline & document process HOT 21
- OrcaHello summary page HOT 2
- Moderator can't log in to Orca Hello portal HOT 1
- Automate model training and evaluation pipeline using AzureML HOT 1
- Merge in any relevant logic from Aayush's forked repo
- Change audio streaming code to pad TS files with zeroes
- Potential Audio splicing issue HOT 1
- Haro Strait vs Straight HOT 7
- Sunset Bay doesn't appear in the filter selection
- Add a coastal Oregon hydrophone to the ML pipeline
- ML Hackathon Objectives
- Publish best OrcaHello model(s) along with a RAIL (Responsible AI License) HOT 1
- Review & upgrade deprecated features/versions
- (DESIGN) Complete OrcaHello UI/API Development and Deployment HOT 3
- InferenceSystem "Create a virtual environment" instructions don't work HOT 4
- Compute system latencies and visualize HOT 1
- Implement new Fish Sound detector on Orcasound data
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