3 Ways To Store Data in Computer Vision Applications

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  • Reduct Storage

    Discontinued A time series database for storing and managing large amounts of blob data [Moved to: https://github.com/reductstore/reductstore]

  • When it comes to computer vision, data storage is a critical component. You need to be able to store images for model training, as well as the results of the processing for model validation. There are a few ways to go about this, each with its own advantages and disadvantages. In this post, we’ll take a look at three different ways to store data in computer vision applications: a file system, an S3-like object storage and Reduct Storage. We’ll also discuss some of the pros and cons of each option.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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