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### Current Behavior:
We are currently utilising the `RetinaNet` pretrained model which we are then transfer learning onto a custom dataset. In this dataset we have an adapted jittered resize…
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Would be nice to have a guide that discusses https://github.com/keras-team/keras-cv/blob/master/benchmarks/vectorization_strategy_benchmark.py.
* What is it?
* Different flavors vectorization sho…
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TODO: Deeplab V3 presets don't work in Keras 2 - https://github.com/sampathweb/keras-cv/blob/86200dcc3884f441f9e648127e8c67c318c57725/keras_cv/models/segmentation/deeplab_v3_plus/deeplab_v3_plus.py#L2…
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Amazing work and an absolutely lovely read to start 2023 with :)
Did a quick implementation in Keras/TF.
Should add SparseConvNeXtV2 and the masked autoencoder training framework.
Basic archite…
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**Short Description**
**MAXIM: Multi-Axis MLP for Image Processing**: I think it's a follow-up work of MaxViT from google. It shows a great performance on the following low-vision task, i.e. for OC…
innat updated
13 hours ago
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Should this two losses be added to keras_cv.losses ?
1. DIoU (Distance over IoU) Loss is independent to the size of the object being detected. It is seen to converge mush faster than GIoU even with…
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I am using yolov8 implementation as described on Keras CV page (https://keras.io/examples/vision/yolov8/).
I wish to print a table with precision, recall and MAP for each class as is done by Yolov…
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# Training a Cassava Classifier with KerasCV's CutMix and MixUp Layers · Luke Wood
Developer blog, project showcase, and personal website. I've published several real time multiplayer web games, wor…
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# Training a Cavassa Classifier with KerasCV's CutMix and MixUp Layers · Luke Wood
Developer blog, project showcase, and personal website. I've published several real time multiplayer web games, wor…
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To align KerasCV with the KerasNLP API, we're migrating our backbone models to subclass keras_cv.models.Backbone.
This allows us to have a more structured, modular API for high-level task models, inc…