- Description:
LVIS: A dataset for large vocabulary instance segmentation.
Homepage: https://www.lvisdataset.org/
Source code:
tfds.object_detection.lvis.Lvis
Versions:
1.0.0
(default): Initial release. Test split has dummy annotations.
Download size:
25.35 GiB
Dataset size:
22.28 GiB
Auto-cached (documentation): No
Splits:
Split | Examples |
---|---|
'test' |
19,822 |
'train' |
100,170 |
'validation' |
19,809 |
- Features:
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=tf.uint8),
'image/id': tf.int64,
'objects': Sequence({
'area': tf.int64,
'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
'id': tf.int64,
'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=1203),
'segmentation': Image(shape=(None, None, 1), dtype=tf.uint8),
}),
})
Supervised keys (See
as_supervised
doc):None
Citation:
@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}
}
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):