To all my computer vision friends working on real-world applications with messy image data, I just open-sourced a Python library you may find useful!
CleanVision audits any image dataset to automatically detect common issues such as images that are blurry, under/over-exposed, oddly sized, or near duplicates of others. It’s just 3 lines of code to discover what issues lurk in your data before you dive into modeling, and CleanVision can be used for any image dataset — regardless of whether your task is image generation, classification, segmentation, object detection, etc.
from cleanvision.imagelab import Imagelab imagelab = Imagelab(data_path=”path_to_dataset”) imagelab.find_issues() imagelab.report()
As leaders like Andrew Ng and OpenAI have lately repeated: models can only be as good as the data they are trained on. Before diving into modeling, quickly run your images through CleanVision to make sure they are ok — it’s super easy!
Github: https://github.com/cleanlab/cleanvision
Disclaimer: I am affiliated with Cleanlab.
submitted by /u/jonas__m
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