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CHANGELOG.md

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# Changelog
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# Version 3.17.1 (2022-03-24)
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## Updated
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* Remove unused rasterio dependency
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# Version 3.17.0 (2022-03-22)
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## Added
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* Create batches from the SDK (Beta). Learn more about [batches](https://docs.labelbox.com/docs/batches)
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* Support for precision and recall metrics on Entity annotations
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## Fix
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* `client.create_project` type hint added for its return type
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## Updated
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* Removed batch MVP code
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# Version 3.16.0 (2022-03-08)
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## Added
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* Ability to fetch a model run with `client.get_model_run()`
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* Ability to fetch labels from a model run with `model_run.export_labels()`
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- Note: this is only Experimental. To use, client param `enable_experimental` should
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be set to true
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* Ability to delete an attachment
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## Fix
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* Logger level is no longer set to INFO
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## Updated
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* Deprecation: Creating Dropdowns will no longer be supported after 2022-03-31
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- This includes creating/adding Dropdowns to an ontology
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- This includes creating/adding Dropdown Annotation Type
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- For the same functionality, use Radio
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- This will not affect existing Dropdowns
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# Changelog
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# Version 3.15.0 (2022-02-28)
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## Added
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* Extras folder which contains useful applications using the sdk

examples/Makefile

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convert:
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python scripts/tutorials.py --config-path 'scripts/config.json'
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upload:
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python scripts/upload_documentation.py --config-path 'scripts/config.json'

examples/README.md

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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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## [Annotation Import](annotation_import)
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## [Annotation Import (Ground Truth & MAL)](annotation_import)
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| Notebook | Github | Google Colab | Learn more |
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| Text Annotation Import | [Github](annotation_import/text.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_import/text.ipynb) |
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| Tiled Imagery Annotation Import | [Github](annotation_import/tiled.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_import/tiled.ipynb) |
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| Video Model-Assisted Labeling | [Github](annotation_import/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/annotation_import/video.ipynb) |
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| MAL with Subclasses | [Github](annotation_import/subclassifications.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_import/subclassifications.ipynb) |
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## [Project Configuration](project_configuration)

examples/annotation_import/basics.ipynb

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"id": "registered-parts"
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},
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"source": [
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"* For information on what types of annotations are supported per data type, refer to this documentation:\n",
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" * https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended"
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"* For information on what types of annotations are supported per data type, refer to this [documentation](https://docs.labelbox.com/docs/model-assisted-labeling#option-1-import-via-python-annotation-types-recommended)"
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]
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},
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{
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"#### Create Label using Annotation Type Objects\n",
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"* It is recommended to use the Python SDK's annotation types. Below is an example of a bounding box, which is the Rectangle annotation type\n",
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"\n",
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"* A more in depth example can be found here:\n",
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" * https://docs.labelbox.com/docs/bounding-box-json"
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"* A more in depth example can be found [here](https://docs.labelbox.com/docs/bounding-box-json)"
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]
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},
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{
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}
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],
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"metadata": {
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"colab": {
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"collapsed_sections": [],
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"name": "basics.ipynb",
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"colab": {
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"name": "basics.ipynb",
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"provenance": [],
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"collapsed_sections": []
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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}

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