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It's insane that you were able to get reasonable results with such a tiny dataset. I am learning machine learning right now and I find working with datasets wi
by jpgvm 10y ago
It's insane that you were able to get reasonable results with such a tiny dataset.
I am learning machine learning right now and I find working with datasets with fewer than 100 examples to be quite difficult.
It seems counter intuitive when you first think about it but having way more data actually makes the task of fitting the model much easier as there is granularity that can be used to get feedback on adjustments to the structure of the model.
- kevinalexbrown 10y agoIt was an image segmentation task, and the features were similar across data sets. The other thing that made it work well was heavy use of data augmentation that captured ways in which different data points could reasonably differ. There was a really cool medical imaging paper recently that literally just labeled several 2D slices in a 3D dataset consisting of 3 images and performed a reasonable segmentation: https://arxiv.org/abs/1606.06650 https://arxiv.org/abs/1606.06650