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I wonder how well it works on people who have a skin color closer to their hair color.
by dsr_ 8y ago
I wonder how well it works on people who have a skin color closer to their hair color.
- swish_bob 8y agoI was about to suggest it really needs to at least be tried on people with darker skin tones.
- Double_a_92 8y agoOr old white people.
- sandworm101 8y agoOr blonde white people.
- swish_bob 8y agoPeople who aren't in Seinfeld.
- deleted 8y ago[deleted]
- icebraining 8y agoThis comment is outrageous, egregious, preposterous!
- ovi256 8y agoYeah, his baldness detector is not robust as it just checks the average color of the area above the forehead, but you could make a robust one through transfer learning a deep model trained on ImageNet further finetuned on a small dataset of a few dozen images of bald and non-bald. Something like this: https://www.kaggle.com/dansbecker/transfer-learning https://www.kaggle.com/dansbecker/transfer-learning This method gets good, robust performance with just a few minutes of training.
- cyborgx7 8y agoSince trained classifiers are already being used, and therefore fair game, a trained baldness classifier would be a better choice, I think. Of course you would need a dataset for that.
- benj111 8y agoI was thinking this is a potentially racist algorithm. Worked well for Amazon! https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G https://www.reuters.com/article/us-amazon-com-jobs-automatio...