Image Segmentation
KerasHub
Keras
Divyasreepat commited on
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Update README.md with new model card content

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README.md CHANGED
@@ -12,10 +12,12 @@ The Segment Anything Model (SAM) produces high quality object masks from input p
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  ## Links
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- * [Segment Anything Quickstart Notebook: coming soon]()
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  * [Segment Anything API Documentation](https://keras.io/api/keras_hub/models/sam/)
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  * [Segment Anything Model Card](https://github.com/facebookresearch/segment-anything)
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  * [Segment Anything paper](https://arxiv.org/abs/2304.02643)
 
 
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  ## Installation
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@@ -23,7 +25,7 @@ Keras and KerasHub can be installed with:
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  ```
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  pip install -U -q keras-Hub
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- pip install -U -q keras>=3
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  ```
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  Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instructions on installing them in another environment see the [Keras Getting Started](https://keras.io/getting_started/) page.
 
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  ## Links
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+ * [Segment Anything Quickstart Notebook](https://www.kaggle.com/code/laxmareddypatlolla/segment-anything-quickstart)
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  * [Segment Anything API Documentation](https://keras.io/api/keras_hub/models/sam/)
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  * [Segment Anything Model Card](https://github.com/facebookresearch/segment-anything)
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  * [Segment Anything paper](https://arxiv.org/abs/2304.02643)
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+ * [KerasHub Beginner Guide](https://keras.io/guides/keras_hub/getting_started/)
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+ * [KerasHub Model Publishing Guide](https://keras.io/guides/keras_hub/upload/)
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  ## Installation
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  ```
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  pip install -U -q keras-Hub
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+ pip install -U -q keras
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  ```
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  Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instructions on installing them in another environment see the [Keras Getting Started](https://keras.io/getting_started/) page.