Today’s blog post is a teaser for a video class called Computer Vision for Digital Humanities (funded by CLARIAH-AT with the support of BMBWF). The self-learning resource (video lessons plus Jupyter notebooks) is an introduction to Computer Vision methods for Digital Humanists. It addresses some Humanities issues that many typical introductions to computer vision do not cover. This post is an example of such reflection. It gives an insight into the first exercise of the class, filtering a list of metadata to create a ground truth dataset for training a classification algorithm. This blogpost does not contain the actual data (so you stay tuned for the video class!) but discusses the issues which arise when creating a ground truth data set for computer vision using Humanities data. Citation suggestion: Suzana Sagadin & Sarah Lang, How to create a ground truth data set for computer vision using Humanities data, in LaTeX Ninja Blog, 04.07.2023. https://latex-ninja.com/2023/07/04/how-to-create-a-ground-truth-data-set-for-computer-vision-using-humanities-data/ Further links to the whole school:
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