Introducing Remo: A Webapp And Python Library That Lets You Explore And Control Your Image Datasets

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Source: https://remo.ai/

Are you tired of writing long code for analyzing and visualizing datasets? Well, Remo brings you an accessible web-based application to organize, annotate, research, and visualize datasets. 

Features of Remo: 

  • It runs on Windows, Linux, Mac, and Google Colab Notebooks. 
  • Users can use Remo to organize and access all their datasets from one place instead of creating different and unrelated repositories. 
  • Users can use Remo to build more detailed datasets by analyzing the images in-depth.
  • It can be used for analysis, data visualization, and prediction models. 
  • Adaptability in slicing data without moving it around: you can create virtual train/test/splits with data in different folders. 
  • Users can use Remo as a code interface across various tasks and projects. 
  • One-click edit will immediately reflect on multiple objects, which reduces editing on different items to make one change. 
  • Different import and export formats for data are supported, including CSV, CoCo, Pascal, etc. 
  • Users can visualize data immediately after uploading datasets. 
  • Users can use Remo to access some critical statistics of our Dataset quickly. 

https://github.com/rediscovery-io/remo-python

Github: https://github.com/rediscovery-io/remo-python

Website: https://remo.ai/

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