Red Bull social media images collection built for their Instagram account. We have run some machine learning models to cluster the images based on similarity.
Insights: posts with earlier dates were more tightly clustered around one part of the similarity space. This indicates that the original manager of Red Bull’s Instagram tended to post visually similar content, whereas later posts have a much greater variety. The likes have been affected by this strategy shift; the newer posts get many more likes indicating the strategy is working well.
This collection demonstrates how Zegami can be used to analyse social media engagement and inform content marketing strategy.
This mammogram dataset consists of 3486 DICOM (Digital Imaging and Communications in Medicine) images. It contains normal, benign, and malignant cases with verified pathology information.
The Muscle Atlas created for the Institure of Myology, Sorbonne University, contains over a thousand of muscle biopsy images from people of different ages as well as animals.
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