Deep Indexer
Similarity and reverse search
How can I identify and label people without pre-trained face recognition?
use case: Duplicate detection
How can I filter duplicates in my archive material more quickly?
The challenge
Find and remove duplicates in datasets
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?
the solution
Deep Indexer
Using the Deep Indexer, duplicates can be automatically detected and located in your data set. The system can be used on-premise or in the cloud. If it is to be part of a workflow, integration is required. Via our RESTful API, it can be easily integrated in any existing system or workflow. Data protection requirements usually play a major role in this decision and should be considered.
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
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faster data acquisition
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COST REDUCTION
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faster labelling
Duplicate detection
Function overview
Face Index
Using Face Index, each person in video and image material can be assigned a number, allowing them to be translated into the metadata afterwards.
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Related use cases
Take a look at our other use cases
Deep Media Analyzer
Improving visual search
How can I efficiently find what I’m really looking for in my visual media material?
Deep Model Customizer
Identification of speakers
How can I recognize new speakers in my media assets in the future?
