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popular-social-media-shots-transfer-learn

AI model using transfer learning to classify images based on types of popular social media shots i.e. selfie, mirror, party, etc.

Notes

Social Media Shots Embedding Classifier

Purpose

This model was designed to recognize some of the most common types of photos posted to social media by individual users. The model’s training data mirrors the types of photos seen across various social media sites. Marketing teams can derive value from applying the model to social listening and trend monitoring the visual side of social media. Influencers and photographers can use the model to visually organize and explore their own photo collections.

Intended Use

UGC photos and videos posted to social media. Photos posted to social media are most often taken with smartphones or other devices, so the most common image aspect ratios are 1:1 and 3:4 (or, square photos and portrait-orientated photos).

Limitations

Imagery outside of the model use case

Taxonomy

fitness
food
interior design
knolling
landscape
latte art
look down
makeup looks
manicure
mirror selfie
party
pets
portrait
selfie
sky
unboxing
workspace
  • ID
  • Name
    popular-social-media-shots
  • Model Type ID
    Transfer Learn Classifier
  • Description
    AI model using transfer learning to classify images based on types of popular social media shots i.e. selfie, mirror, party, etc.
  • Last Updated
    Oct 16, 2024
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