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Merge pull request #312 from Labelbox/gj/detectron2-docs
Detectron2 Docs
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.gitignore

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# and source files
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/.graphqlconfig
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/schema.graphql

examples/README.md

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| Video Annotation Export | [Github](label_export/video.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/label_export/video.ipynb) | [Reference](https://docs.labelbox.com/reference/label-output) |
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## Model Training
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Train a model using data annotated on Labelbox
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| Notebook | Github | Google Colab |
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| --------------------------- | --------------------------------- | ------------ |
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| Object Detection (Detectron2) | [Github](coco_object.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/integrations/detectron2/coco_panoptic.ipynb) |
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| Panoptic Detection (Detectron2) | [Github](coco_panoptic.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/integrations/detectron2/coco_panoptic.ipynb)
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------
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## [Annotation Types](annotation_types)
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Learn more about annotation types in the [docs](https://docs.labelbox.com/docs/annotation-types-1)
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| Notebook | Github | Google Colab |
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| --------------------------- | --------------------------------- | ------------ |
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| Annotation Type Basics | [Github](annotation_types/basics.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/basics.ipynb) |
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| Converters | [Github](annotation_types/converters.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/converters.ipynb) |
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| Label Containers | [Github](annotation_types/label_containers.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/label_containers.ipynb) |
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| MAL Using Annotation Types | [Github](annotation_types/mal_using_annotation_types.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/mal_using_annotation_types.ipynb) |
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## [Model Assisted Labeling](model_assisted_labeling)
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| Notebook | Github | Google Colab | Learn more |
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| --------------------------- | --------------------------------- | ------------ | ---------- |
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| MAL Basics | [Github](model_assisted_labeling/mal_basics.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/model_assisted_labeling/mal_basics.ipynb) | [Docs](https://docs.labelbox.com/docs/model-assisted-labeling) |
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| Debugging MAL | [Github](model_assisted_labeling/debugging_mal.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/model_assisted_labeling/debugging_mal.ipynb) |
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| MAL with Subclasses | [Github](model_assisted_labeling/mal_with_subclasses.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/model_assisted_labeling/mal_with_subclasses.ipynb) |
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| Tiled Imagery MAL | [Github](model_assisted_labeling/tiled_imagery_mal.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/model_assisted_labeling/tiled_imagery_mal.ipynb) |
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## [Project Configuration](project_configuration)
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| Webhooks | [Github](project_configuration/webhooks.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/project_configuration/webhooks.ipynb) | [Docs](https://docs.labelbox.com/docs/webhooks) |
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## [Annotation Types](annotation_types)
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| Notebook | Github | Google Colab |
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| --------------------------- | --------------------------------- | ------------ |
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| Annotation Type Basics | [Github](annotation_types/basics.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/basics.ipynb) |
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| Converters | [Github](annotation_types/converters.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/converters.ipynb) |
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| Label Containers | [Github](annotation_types/label_containers.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/label_containers.ipynb) |
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| MAL Using Annotation Types | [Github](annotation_types/mal_using_annotation_types.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/mal_using_annotation_types.ipynb) |
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## [Model Diagnostics](model_diagnostics)
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| Notebook | Github | Google Colab | Learn more |
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![Logo](images/detectron-logo.png)
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Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation
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algorithms. Check out the official repository [here](https://github.com/facebookresearch/detectron2)
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<div align="center">
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<img src="https://user-images.githubusercontent.com/1381301/66535560-d3422200-eace-11e9-9123-5535d469db19.png"/>
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</div>
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# Getting Started
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The Labelbox team has created two notebooks to help you train your own Detectron2 model with data you have annotated on
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Labelbox.
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| Notebook | Github | Google Colab |
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| --------------------------- | --------------------------------- | ------------ |
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| Object Detection | [Github](coco_object.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/integrations/detectron2/coco_panoptic.ipynb) |
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| Panoptic Detection | [Github](coco_panoptic.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/integrations/detectron2/coco_panoptic.ipynb)
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examples/integrations/detectron2/coco_object.ipynb

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"source": [
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"API_KEY = None\n",
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"# For training:\n",
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"project_id = \"ckt8uxbul81uh0y7ucd03bye6\"\n",
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"project_id = \"\"\n",
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"# The model will make predictions on the following dataset \n",
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"# and upload predictions to a new project for model assisted labeling.\n",
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"mal_dataset_id = \"ckrwmctsr0kik0y2c41uvdb3e\""
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"mal_dataset_id = \"\""
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"nbformat": 4,
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}

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