AI tagging typically involves the use of Artificial Intelligence and image recognition technology to identify objects and other properties such as colours or text within images. These are then associated with corresponding keywords. AI tagging is usually performed when initially uploading and ingesting assets.
While some experimental work has been carried out on video media, this technology is currently used mainly with static images such as photos. The majority of DAM vendors implement AI tagging using a third party image recognition component rather than developing this facility themselves.
The accuracy and reliability of automated AI tagging is can sometimes be unpredictable with obvious keywords often being missed, while other more obscure suggestions are proposed instead. Most AI tagging is restricted to generalised content descriptions and is usually inadequate for subject-specific keywords and other metadata.
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Version History for AI Tagging
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Current Version (3)
Edited by Ralph Windsor on 26/10/2021 at 11:05
Version 2
Edited by Ralph Windsor on 26/10/2021 at 11:04
Description
AI tagging typically involves the use of Artificial Intelligence and image recognition technology to identify objects and other properties such as colours or text within images. These are then associated with corresponding keywords. AI tagging is usually performed when initially uploading and ingesting assets.
While some experimental work has been carried out on video media, this technology is currently used mainly with static images such as photos. The majority of DAM vendors implement AI tagging using a third party image recognition component rather than developing this facility themselves.
The accuracy and reliability of automated AI tagging is can sometimes be unpredictable with obvious keywords often being missed, while other more obscure suggestions are proposed instead. Most AI tagging is restricted to generalised content descriptions and is usually inadequate for subject-specific keywords and other metadata.
Differences between version 2 and latest version v2 v3
Version 1
Created by Ralph Windsor on 26/10/2021 at 11:04
Description
AI tagging typically involves the use of Artificial Intelligence and image recognition technology to identify objects and other properties such as colours or text within images. These are then associated with corresponding keywords. AI tagging is usually performed when initially uploading and ingesting assets.
While some experimental work has been carried out on video media, this technology is currently used mainly with static images such as photos. The majority of DAM vendors implement AI tagging using a third party image recognition component rather than developing this facility themselves.
The accuracy and reliability of automated AI tagging is can sometimes be unpredictable with obvious keywords often being missed, while other more obscure suggestions are proposed instead. Most AI tagging is restricted to generalised content descriptions and is usually inadequate for subject-specific keywords and other metadata.
Differences between version 1 and latest version v1 v3
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