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 ### Overview
 
-*PixPlot* facilitates the dynamic exploration of tens of thousands of images. Inspired by Benoît Seguin et al.’s paper at DH Krakow (2016), *PixPlot* uses the penultimate layer of a pre-trained convolutional neural network for image captioning to derive a robost featurization space in 2,048 dimensions.
+*PixPlot* facilitates the dynamic exploration of tens of thousands of images. Inspired by Benoît Seguin et al.’s paper at DH Krakow (2016), *PixPlot* uses the penultimate layer of a pre-trained convolutional neural network for image captioning to derive a robust featurization space in 2,048 dimensions.
 
 Initial projects at Yale have used the software to visualize cultural heritage images held in the Beinecke Rare Book & Manuscript Library, Yale Center for British Art, and the Medical Historical Library.
 
@@ -51,4 +51,4 @@ We are currently working on additional enhancements to the software that include
 - enhanced sharing features,
 - text annotations within plots.
 
-For more on the underlying code, visit the DHLab's <a href='https://github.com/YaleDHLab/pix-plot' target='_blank'>GitHub repository</a>. The code was authored by Yale Digital Humanities Lab Developer Douglas Duhaime.
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+For more on the underlying code, visit the DHLab's <a href='https://github.com/YaleDHLab/pix-plot' target='_blank'>GitHub repository</a>. The code was authored by Yale Digital Humanities Lab Developer Douglas Duhaime.