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Merge pull request #2105 from emmanuel-ferdman/master
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Update MaskRCNN notebook reference
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jyaistMap authored Oct 17, 2024
2 parents ebc50a9 + a26311f commit 4a7cf48
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"cell_type": "markdown",
"metadata": {},
"source": [
"`arcgis.learn` provides the MaskRCNN model for instance segmentation tasks, which is based on a pretrained convnet, like ResNet that acts as the 'backbone'. More details about MaskRCNN can be found [here](https://github.com/Esri/arcgis-python-api/blob/master/guide/14-deep-learning/How_MaskRCNN_works.ipynb)."
"`arcgis.learn` provides the MaskRCNN model for instance segmentation tasks, which is based on a pretrained convnet, like ResNet that acts as the 'backbone'. More details about MaskRCNN can be found [here](https://github.com/Esri/arcgis-python-api/blob/master/guide/14-deep-learning/how_maskrcnn_works.ipynb)."
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"`arcgis.learn` provides the `MaskRCNN` model for instance segmentation tasks, which is based on a pretrained convnet, like ResNet that acts as the 'backbone'. More details about `MaskRCNN` can be found [here](https://github.com/Esri/arcgis-python-api/blob/master/guide/14-deep-learning/How_MaskRCNN_works.ipynb)."
"`arcgis.learn` provides the `MaskRCNN` model for instance segmentation tasks, which is based on a pretrained convnet, like ResNet that acts as the 'backbone'. More details about `MaskRCNN` can be found [here](https://github.com/Esri/arcgis-python-api/blob/master/guide/14-deep-learning/how_maskrcnn_works.ipynb)."
]
},
{
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