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<metaitemprop="description"content="LVIS: A dataset for large vocabulary instance segmentation. To use this dataset: ```python import tensorflow_datasets as tfds ds = tfds.load('lvis', split='train') for ex in ds.take(4): print(ex) ``` See [the guide](https://www.tensorflow.org/datasets/overview) for more informations on [tensorflow_datasets](https://www.tensorflow.org/datasets). <img src="https://storage.googleapis.com/tfds-data/visualization/fig/lvis-1.3.0.png" alt="Visualization" width="500px"> " />
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<metaitemprop="description"content="LVIS: A dataset for large vocabulary instance segmentation. To use this dataset: ```python import tensorflow_datasets as tfds ds = tfds.load('lvis', split='train') for ex in ds.take(4): print(ex) ``` See [the guide](https://www.tensorflow.org/datasets/overview) for more informations on [tensorflow_datasets](https://www.tensorflow.org/datasets). <img src="https://storage.googleapis.com/tfds-data/visualization/fig/lvis-1.4.0.png" alt="Visualization" width="500px"> " />
<metaitemprop="citation"content="@inproceedings{gupta2019lvis, title={{LVIS}: A Dataset for Large Vocabulary Instance Segmentation}, author={Gupta, Agrim and Dollar, Piotr and Girshick, Ross}, booktitle={Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition}, year={2019} }" />
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# `lvis`
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Note: This dataset has been updated since the last stable release. The new
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versions and config marked with
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<spanclass="material-icons"title="Available only in the tfds-nightly package">nights_stay</span>
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are only available in the `tfds-nightly` package.
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***Description**:
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LVIS: A dataset for large vocabulary instance segmentation.
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*`1.1.0`: Added fields `neg_category_ids` and
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`not_exhaustive_category_ids`.
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*`1.2.0`: Added class names.
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***`1.3.0`** (default): Added minival split.
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*`1.3.0`: Added minival split.
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***`1.4.0`** (default)
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<spanclass="material-icons"title="Available only in the tfds-nightly package">nights_stay</span>:
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