license:apache-2.0 region:us
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license: apache-2.0
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# Summary

This dataset is composed of random SVG shaped polygons each given a caption that specifically mentions the postion and color of objects.

# Checkpoints

**07-14-2024**. Ew, green stuff! - Moldy is now up and running. It's going at about 1 img&amp;desc per second. 16k rows uploaded. P.S. Make that 32k! &lt;3

# Roadmap ( Unsorted )

*. Create visualizer - SVG Images are picky, and you need a somewhat powerful graphics system to use them well. Or a web browser.
*. Trim - As stated below, a sizeable minority of available images are "junk", because I am one guy writing this in his spare time. I will, however, utilize a vision model to check images individually.
*. Expand - Obviously, as I work on the other items, I will continuosly build and improve upon this dataset. The goal is 1 million rows.

# Safety

This dataset is randomly generated using Python, XML ETree for SVG manipulation, and Together Computer for inference. This is RANDOM, UNCLEANED data - I watched a lot of it during the generation process, and I saw many visually appealing and potentially train-worthy examples, but I also saw many ( Possible arbitrary guess 10-30% junk or low quality. )
