dataset_info.json

{ 
 "builder_name": "scene_parse_150", 
 "citation": "@inproceedings{zhou2017scene,\n title={Scene Parsing through ADE20K Dataset},\n author={Zhou, Bolei and Zhao, Hang and Puig, Xavier and Fidler, Sanja and Barriuso, Adela and Torralba, Antonio},\n booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},\n year={2017}\n}\n\n@article{zhou2016semantic,\n title={Semantic understanding of scenes through the ade20k dataset},\n author={Zhou, Bolei and Zhao, Hang and Puig, Xavier and Fidler, Sanja and Barriuso, Adela and Torralba, Antonio},\n journal={arXiv preprint arXiv:1608.05442},\n year={2016}\n}\n", 
 "config_name": "instance_segmentation", 
 "dataset_name": "scene_parse_150", 
 "dataset_size": 1162541464, 
 "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.\nMIT Scene Parsing Benchmark (SceneParse150) provides a standard training and evaluation platform for the algorithms of scene parsing.\nThe data for this benchmark comes from ADE20K Dataset which contains more than 20K scene-centric images exhaustively annotated with objects and object parts.\nSpecifically, the benchmark is divided into 20K images for training, 2K images for validation, and another batch of held-out images for testing.\nThere are totally 150 semantic categories included for evaluation, which include stuffs like sky, road, grass, and discrete objects like person, car, bed.\nNote that there are non-uniform distribution of objects occuring in the images, mimicking a more natural object occurrence in daily scene.\n", 
 "download_checksums": { 
 "http://sceneparsing.csail.mit.edu/data/ChallengeData2017/images.tar": { 
 "num_bytes": 892088320, 
 "checksum": null 
 }, 
 "http://sceneparsing.csail.mit.edu/data/ChallengeData2017/annotations_instance.tar": { 
 "num_bytes": 90398720, 
 "checksum": null 
 }, 
 "http://sceneparsing.csail.mit.edu/data/ChallengeData2017/release_test.tar": { 
 "num_bytes": 214906880, 
 "checksum": null 
 } 
 }, 
 "download_size": 1197393920, 
 "features": { 
 "image": { 
 "_type": "Image" 
 }, 
 "annotation": { 
 "_type": "Image" 
 } 
 }, 
 "homepage": "http://sceneparsing.csail.mit.edu/", 
 "license": "BSD 3-Clause License", 
 "size_in_bytes": 2359935384, 
 "splits": { 
 "train": { 
 "name": "train", 
 "num_bytes": 862611496, 
 "num_examples": 20210, 
 "shard_lengths": [ 
 12000, 
 8210 
 ], 
 "dataset_name": "scene_parse_150" 
 }, 
 "test": { 
 "name": "test", 
 "num_bytes": 212427690, 
 "num_examples": 3352, 
 "dataset_name": "scene_parse_150" 
 }, 
 "validation": { 
 "name": "validation", 
 "num_bytes": 87502278, 
 "num_examples": 2000, 
 "dataset_name": "scene_parse_150" 
 } 
 }, 
 "version": { 
 "version_str": "1.0.0", 
 "major": 1, 
 "minor": 0, 
 "patch": 0 
 } 
}