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One of the core challenges of machine learning for airborne biodiversity observation is trying to generalize across sensors and acquisition conditions. Given low data sizes, data augmentations are cru…
bw4sz updated
2 weeks ago
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## 🚀 Feature
With #2568, fill values for arbitrary number of channels was added for `warp_affine`. It would be very convenient to adapt the functions `affine` and `rotate`, and the corresponding augm…
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How can I use keras with pytorch backend to load my custom dataset. I also want to use the data augmentations that are available in the preprocessing layers. My model is written in pytorch.
Can anyo…
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General cleanup, add more text on individual augs, nothing on Albumentations?
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Should we use data augmentations/ mixup for finetuning on pseudolabels? I think data augs should be significantly less aggressive for the pseudolabeling. However, do we want that to mean a different s…
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Hi,
According to the theory, in stage 1, two different types of augmentations should be applied to a batch of samples.
1) crop and resize
2) AutoAugment/randaugment/simaugment.
It seems the cod…
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Introduce data readers that allow multispectral images to be used in training and prediction. There will be a possible issue with using pre-trained base models as has been done previously.
See:
ht…
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Thanks for your great work!
My training data set is pretty small, and I wonder if there are any built-in data augmentations in your code? If so, how to configure it?
Thanks!
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