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As a Data Scientist, I want to develop a processing tool that automatically tags images in the datalake using a Visual Language Model (VLM) based on a predefined list of tags So that we can efficiently categorize and search through the images in the datalake.
Acceptance Criteria:
The tool takes as input either the entire datalake or a specified list of images from the datalake.
The tool accepts a list of tags (e.g., "day", "night", "autumn", "winter", "summer", "spring").
The tool runs the VLM on each image with the appropriate prompts to assign the most relevant tag from the provided list.
The assigned tags are accurately associated with each image in the datalake.
Definition of Done:
All acceptance criteria are met.
Code is reviewed and approved.
The tool is tested and validated with a variety of images and tag lists.
Documentation is updated to reflect the new tagging process.
The text was updated successfully, but these errors were encountered:
As a Data Scientist,
I want to develop a processing tool that automatically tags images in the datalake using a Visual Language Model (VLM) based on a predefined list of tags
So that we can efficiently categorize and search through the images in the datalake.
Acceptance Criteria:
Definition of Done:
The text was updated successfully, but these errors were encountered: