scene_parse150

• Description:

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.

• Homepage: http://sceneparsing.csail.mit.edu/
• Source code: tfds.image.scene_parse_150.SceneParse150
• Versions:
  • 1.0.0 (default): No release notes.
• Download size: 936.97 MiB
• Dataset size: Unknown size
• Auto-cached (documentation): No
• Splits:

• Features:

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

• Supervised keys (See as_supervised doc): ('image', '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}
}