The larger the amount of visual data, the greater the likelihood that there will be duplicates among the images and videos. This not only costs storage space, but also discourages users from doing quick searches or using consistent data. How can DeepVA help filter out the duplicates in my data?
So how can DeepVA help you find the people or places you’re looking for faster and more efficient?
Using the Deep Indexer, duplicates can be automatically detected and located in your data set.
faster data acquisition
COST REDUCTION
faster labelling
What results can be obtained?
Increase the quality of your database by avoiding duplicates
Save valuable storage space by removing duplicates
Extend the storage of data in your media workflow with another quality control measure
Requirements
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A product of «The Chainless».
Designed and engineered in Germany.
The Chainless GmbH
Wannerstraße 19
79106 Freiburg
Germany
The project has indirectly received funding from the European Commission’s Horizon 2020 Framework Programme through the STADIEM project (Grant Agreement 957321)
