[Link to Labeled Images in DRS] ()
100 images for Test 1 (to help development)
100 images for Test 2 (for a final set)
To source the images, choose between either pulling from the DRS API or Discovery Cluster
- Experience Implementing a data pipeline like this before
- Images may not be uploaded to the DRS
- All images that are digitized should be stored here
- Probably more efficient method (will test)
- Not sure how difficult it is to develop the pipeline
- For dev-time purposes, could be less efficient if we want this done ASAP
- Image Title
- Title
- Abstract
- Photographer Name (if it exists)
- Dates (if it exists) Once each of the 200 images are processed (using pandas --> csv files --> excel) we can move onto A|B testing
5 images for comparison testing Rank based from 1-4 (Gemini vs. Claude Opus vs. Claude Sonnet vs. Human Generated)
Handles:
- http://hdl.handle.net/2047/D20314685
- http://hdl.handle.net/2047/D20487734
- http://hdl.handle.net/2047/D20314057
- http://hdl.handle.net/2047/D20488302
- http://hdl.handle.net/2047/D20488320
4 images for metric testing
- Accuracy
- Conciseness Presentation: Get Feedback from Audience from a Demo.
Handles: