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Incorporate Rekognition data into the catalog #431
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Early TestingBack in April I ran a simple script to do some basic analysis of the Rekognition labels. I mostly wanted to test the speed of reading all of the data. Here's the script I used: https://gist.github.com/zackkrida/cb125155e87aa1c296887e5c27ea33ff Infra setupThe script was run on a manually-provisioned EC2 instance. The instance was configured with permissions to access our S3 bucket. I also used an instance with Enhanced Networking support so the script would theoretically stream the rekognigtion data as fast as possible. Unfortunately I only loosely recall how long it took, and am struggling to find my notes. I believe it was around 4-5 hrs. I do remember being happy with the speed. General recommendationsFor this project I would strongly recommend we download the full list of Rekognition labels from this page: https://docs.aws.amazon.com/rekognition/latest/dg/labels.html and filter out anything related to gender prediction. As far as the approach we take to importing the rekognition data, we could probably use a script much like the one I wrote to stream the rekognition data and then perform sql updates in batches, adding the new tags to the existing array with a |
The project proposal has recently been merged, and issues for the 3 implementation plans have been created (linked above). I plan on starting the API-related IP soon. |
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No change since the previous update - IPs still need to be drafted. |
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The IP for the API-side of things has been merged (#4189) and can be seen here. The only issues necessary for this work has been created and will be worked on in the next week or so: #4273. @fcoveram has also established mock-ups for how the machine-generated tags will be displayed in the frontend in #4192. This was a necessary prerequisite for the frontend IP, #4039, which @obulat will be working on. Work can also begin on the final IP, #4040, which will be a more subjective dive into the tags themselves and what policy Openverse will take for machine-generated labels. |
Hi @AetherUnbound, this project has not received an update comment in 14 days. Please leave an update comment as soon as you can. See the documentation on project updates for more information. |
Summary
Rekognition data in the form of object labels was collected for roughly 100m records in the Openverse catalog.
These labels should be sanitized for suitability in the Openverse project and applied to records in the Openverse Catalog as tags.
Description
Some exploratory work was done to assess the quality of these labels. The team generally felt positive about them, given we would blanket remove a subset of them (e.g. ones that assume a gender). We will need to do a broader analysis to determine if there are more labels we would want to exclude, and then incorporate them into the existing tags for each record in the catalog. The automated tags include a confidence score associated with the tag value, and we should also incorporate those values into the overall document score for relevant searches.
Best guess at list of implementation plans:
Documents
Issues
Prior Art
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