did=79 task=did=79 YACVID - LabelMe - Details

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

Stand: 2024-03-19 08:05:25 - Overview

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Attribute Current content New content
Name (Institute + Shorttitle)LabelMe 
Description (include details on usage, files and paper references)The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool.

Images Objects Cars Person Building Road Sidewalk Sky Tree

second dataset
8 scene categories and 29.000 annotated objects
Citation: Modeling the shape of the scene: a holistic representation of the spatial envelope. A. Oliva, A. Torralba. International Journal of Computer Vision, Vol. 42(3): 145-175, 2001.
 
URL Linkhttp://labelme.csail.mit.edu/ 
Files (#)4153 
References (SKIPPED)
Category (SKIPPED)Semantic Segmentation, Object Detection 
Tags (single words, spaced)segmentation, semantic, outdoor, detection, urban, software 
Last Changed2024-03-19 
Turing (2.12+3.25=?) :-)