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scene_parse150

Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Scene Parsing Benchmark (SceneParse150) provides a standard training and evaluation platform for the algorithms of scene parsing.

Features

FeaturesDict({
    'annotation': Image(shape=(None, None, 3), dtype=tf.uint8),
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
})

Statistics

Split Examples
ALL 22,210
TRAIN 20,210
TEST 2,000

Homepage

Supervised keys (for as_supervised=True)

(u'image', u'annotation')

Citation

@inproceedings{zhou2017scene,
title={Scene Parsing through ADE20K Dataset},
author={Zhou, Bolei and Zhao, Hang and Puig, Xavier and Fidler, Sanja and Barriuso, Adela and Torralba, Antonio},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2017}
}