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Multi-output support for CutMix + MixUp #1025
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@ebursztein will provide more info |
@LukeWood do you still plan on working on this? |
This would be a very useful feature for multi-output classifiaction task. This was heavily dominated in one of a kaggle competition, link. With this kaggle-data, I've prepared a sample code to get started. https://colab.research.google.com/drive/1EuBv-kZxyw6PkK3SmGeHHv_gF8A_LsrA?usp=sharing |
@innat thank you for the colab, have you opened a PR for this? |
Thanks for reporting the issue! We have consolidated the development of KerasCV into the new KerasHub package, which supports image, text, and multi-modal models. Please read keras-team/keras-hub#1831. KerasHub will support all the core functionality of KerasCV. KerasHub can be installed with !pip install -U keras-hub. Documentation and guides are available at keras.io/keras_hub. With our focus shifted to KerasHub, we are not planning any further development or releases in KerasCV. If you encounter a KerasCV feature that is missing from KerasHub, or would like to propose an addition to the library, please file an issue with KerasHub. |
Firstly, identifying which feature is required or missing can be done effectively, either by practitioners or the Keras team. Tickets in |
This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you. |
multi-output labels are typically dictionaries with Tensor keys. We can iterate over these and blend them.
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