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Data analysis of unstructured video and image data in Fashion

Reference number
Coordinator Stockholms universitet - Institutionen för data- och systemvetenskap
Funding from Vinnova SEK 231 266
Project duration October 2017 - June 2018
Status Completed
Venture Personal mobility between societal sectors

Purpose and goal

The aim of the project was to: Specify H&M´s challenges with unstructured image and video data in social media Identify opportunities in emerging computer science Plan applied research All of these aims was achieved.

Expected results and effects

It resulted in an analysis on how retail could be improved by emerging advanced data analytics methods.

Planned approach and implementation

Oskar Juhlin had full access to all activities in the area. He could then interview both project leaders and people with a recent Ph D in data science. The quesions concerned the development of data analytics, and how H&M could orient to it in a 1-2, 3-5 and 5-10 years perspective. Their answers were compared to previous unpublished interviews with academic researchers in the field. Finally, it was possible to list action points.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 8 January 2019

Reference number 2017-01528

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