Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2020-06-07 000000m 10:34:10 - Overview

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Name (Institute + Shorttitle)LabelMeFacade 
Description (include details on usage, files and paper references)
The LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedure resulted in 945 images. The pixelwise labeled images are created by utilizing the eTRIMS categories and a simple depth order heuristic. Due to some label ambiguities the following class names are used as synonyms for corresponding eTRIMS categories: house (building); sideway, sidewalk (pavement); street (road); tree (vegetation). We split this dataset into 100 images for training and 845 images for testing.

We use the same format as used in the PASCAL database:

To get the database please write an email to erik (dot) rodner (at) uni-jena (dot) de 
URL Link 
Files (#)945 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)segmentation semantic facade urban rectified recognition  
Last Changed2020-06-07 
Turing (2.12+3.25=?) :-)