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We will use the 2.14 evaluation 18 CSV files, listing 36K observations
We will re-use the TestModel python code from Vision repo, as much as possible. This code will download 1000 photos for each evaluation CSV file.
We will adapt the code to call the Gemini API for each photo, prompting the model
Return just the scientific name of the organism in the picture or N/A if you can't identify it
We will store the results in 18 CSV files (for each evaluation group), listing:
The text was updated successfully, but these errors were encountered:
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We will use the 2.14 evaluation 18 CSV files, listing 36K observations
We will re-use the TestModel python code from Vision repo, as much as possible.
This code will download 1000 photos for each evaluation CSV file.
We will adapt the code to call the Gemini API for each photo, prompting the model
We will store the results in 18 CSV files (for each evaluation group), listing:
The text was updated successfully, but these errors were encountered: