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Fashion forecasting revolution:
a case study

Context & Scope

How to label data to evaluate new recognition models and release new client features.
Challenge of volume
Challenge of quality reliability


MyDataMachine’s team of 30 persons expertise in meticulously labelling & annotating fashion images.

Tagging over 1.5M images every month since 3 years.

Results for our client

Data quality

20 M images delivered

10k deep learning models created

What we want for you too

Develop their range of solution

"Overall increase in volumes for data acquisition, which means we were able to add more data and increase our scope of modules. Increase in quality reliability, in terms of daily image tagging. The ability and flexibility to test different and ad hoc use cases.”
Quality Manager,
France —
29 rue de Turin,
75008 Paris, FR
Morbi, IN