Why the model cannot predict less than 14 year of age using Single Image Predictions?

Raschka-research-group / coral-cnn

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

https://www.sciencedirect.com/science/article/pii/S016786552030413X

MIT License

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Why the model cannot predict less than 14 year of age using Single Image Predictions? #17

Closed QaisarRajput closed 4 years ago

QaisarRajput commented 4 years ago

Its not an issue, more of a query. I see that in the Labels and train/test splits section it is mentioned that

UTKFace: labels 0-39 correspond to ages 21-60

But as we know UTKFace data has samples from age (0 to 116) UTKFACE.

Are these models not trained on the full data-sets because of training resource needed or is there another reason?

rasbt commented 4 years ago

Yeah, I trimmed the dataset because some of the classes had a very low number of examples per age class. E.g., only 1-3 pictures per age class (but I don't remember the exact number, just that I trimmed it because the number of examples was very low).