Picking the best colour is a difficult problem, I don't think there's a good general answer short of ML magic. I assembled an adversarial collection of images:

Picking the best colour is a difficult problem, I don't think there's a good general answer short of ML magic. I assembled an adversarial collection of images: https://github.com/si14/okmain/blob/main/test_images/IMG_1347.jpeg https://github.com/si14/okmain/blob/main/test_images/IMG_134... https://github.com/si14/okmain/blob/main/test_images/pendant_unicorn.jpg https://github.com/si14/okmain/blob/main/test_images/pendant... https://github.com/si14/okmain/blob/main/test_images/pendant_virgin.jpg https://github.com/si14/okmain/blob/main/test_images/pendant... https://github.com/si14/okmain/blob/main/test_images/red_moon.jpg https://github.com/si14/okmain/blob/main/test_images/red_moo... https://github.com/si14/okmain/blob/main/test_images/supremus_55.jpg https://github.com/si14/okmain/blob/main/test_images/supremu... For every heuristic, I can think of an image that breaks it. On the other hand, I just wanted to do better than the 1x1 trick, and I think the library clears that bar.