look into using the python sdk for label studio for automatic labeling of empty images, and logos

[DevinBayly]

ideas for things that we can use to determine if an image is not likely to be a visualization

• size determination (lower than some width or height)
• pixel distribution (too much black or white exclusively)
• text bounding box proportion (an org logo will have a much higher proportion of space using a text bounding box)
• straight line hough transforms (if an image only has a few lines it can pick out then it's likely not a vis, just a simple shape)

[DevinBayly]

I'll be using opencv EAST for text detection https://pyimagesearch.com/2018/08/20/opencv-text-detection-east-text-detector/

https://docs.opencv.org/4.x/d4/d43/tutorial_dnn_text_spotting.html#autotoc_md437

[DevinBayly]

or even just using this https://www.geeksforgeeks.org/text-detection-and-extraction-using-opencv-and-ocr/

[DevinBayly]

migiht make more sense to avoid the large dependency of opencv and do skimage instead https://scikit-image.org/docs/stable/auto_examples/edges/plot_contours.html then apply bounding box on the contours

[DevinBayly]

or even better https://github.com/JaidedAI/EasyOCR

this will get us a bbox with 2 lines of code. but a large install is required

[DevinBayly]

work needs to be uploaded to this folder https://github.com/DevinBayly/vis-sieve/tree/label_studio/visualization/label_studio