Training on the “Regulation Pieces” still isn’t working…however training on Bing Image Search datasets of e.g. “bishop chess piece” can help identify the Rook, Knight, and to some degree the Pawn class (the Bishop, Queen, and King remain unsolved).
The reason for this is there’s more variety built into the Bing Image dataset, which should let out model generalize better.
I’m beginning to think this task can’t be solved, except “relatively” (e.g. which of all the pieces is most “king-like”). For my wooden pieces, the King piece lacks a cross on the top, which appears to be the most universal way to designate a piece a king.
One other thought I’m having is to look at solutions to Quickdraw (“Doodle Recognition”) where we’re trying to match images which are meant to be “glyphs” or symbols, similar to the way chess pieces are.
