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Multi-output support for CutMix + MixUp #1025

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LukeWood opened this issue Nov 16, 2022 · 7 comments
Open

Multi-output support for CutMix + MixUp #1025

LukeWood opened this issue Nov 16, 2022 · 7 comments
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enhancement New feature or request

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@LukeWood
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multi-output labels are typically dictionaries with Tensor keys. We can iterate over these and blend them.

@LukeWood
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@ebursztein will provide more info

@divyashreepathihalli
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@LukeWood do you still plan on working on this?

@innat
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innat commented Dec 16, 2023

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

@divyashreepathihalli
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@innat thank you for the colab, have you opened a PR for this?

@sachinprasadhs
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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.

@innat
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innat commented Jan 16, 2025

@sachinprasadhs

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 keras-cv were created only when such features were NOT available or when a specific need was encountered. Commenting after a significant delay and requesting the recreation of the same issue is neither efficient nor appropriate. Kindly move this ticket (and any other similar tickets with the same context) from keras-cv to keras-hub.

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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.

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