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Kevin Kim
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Merge branch 'develop'
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CHANGELOG.md

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# Changelog
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# Version 3.47.0 (2023-05-23)
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## Added
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* Support for interpolated frames to export v2
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## Changed
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* Removed ndjson library and replaced it with a custom ndjson parser
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## Notebooks
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* Removed confidence scores in annotations - video notebook
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* Removed raster seg masks from video prediction
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* Added export v2 example
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* Added SAM and Labelbox connector notebook
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# Version 3.46.0 (2023-05-03)
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## Added
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* Global key support to DataRow Metadata `bulk_upsert()` function

docs/source/conf.py

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copyright = '2021, Labelbox'
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author = 'Labelbox'
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release = '3.46.0'
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release = '3.47.0'
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# -- General configuration ---------------------------------------------------
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examples/annotation_import/image.ipynb

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"# Image annotation import\n",
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"This notebook will provide examples of each supported annotation type for image assets. \n",
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"\n",
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"### [Model-assisted labeling (MAL)](https://docs.labelbox.com/v4/docs/model-assisted-labeling)\n",
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"### [Model-assisted labeling (MAL)](https://docs.labelbox.com/docs/model-assisted-labeling)\n",
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"\n",
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"* This workflow allows you to import computer-generated predictions (or simply annotations created outside of Labelbox) as pre-labels on an asset. \n",
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"\n",
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"The imported annotations will be pre-populated in the labeling editor. However, in order to convert the pre-labels to real annotations, a human labeler will still need to open the Data Row in the Editor and submit it. This functionality is designed to speed up human labeling.\n",
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"\n",
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"### [Import ground truth](https://docs.labelbox.com/v4/docs/import-ground-truth)\n",
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"### [Import ground truth](https://docs.labelbox.com/docs/import-ground-truth)\n",
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"\n",
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"* This workflow functionality allows you to bulk import your ground truth annotations from an external or third-party labeling system into Labelbox Annotate. Using the label import API to import external data is a useful way to consolidate and migrate all annotations into Labelbox as a single source of truth.\n",
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