Annotating images is tiresome work, and existing tools do not make this much easier. Identifying features within images is a common task for training and evaluating machine learning models, and taipan aims to simplify this very manual process.
The hexwall at useR! 2018 features roughly 200 contributed R package hexagon stickers. If you’ve ever had difficulty aligning hexagon stickers in your slides or even on your laptop, you may appreciate the challenge of arranging hundreds of hexagons. Fortunately with R and a little bit of magick, we can substantially simplify this process.
Neatly aligning hex stickers for presentations or reports is a tedious process. It is repetitive, and very easy to get wrong. Despite the physical hexagons having a standardised shape and size, digital hexagons appear in many forms. With variation in file type, resolution, transparency and layouts, working with hexagon files can prove challenging.