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

Stand: 2020-06-07 000000m 11:29:41 - Overview

Attribute Current Content New
Name (Institute + Shorttitle)Unimore - YACCLAB dataset 
Description (include details on usage, files and paper references)The YACCLAB dataset includes both synthetic and real binary images and is suitable for a wide range of applications, ranging from document processing to survaillance, and features a significant variability in terms of resolution, image density and number of components. All images are provided in 1 bit per pixel PNG format, with 0 (black) being background and 1 (white) being foreground.

Please include the following references when citing the YACCLAB database:

Bolelli, Federico; Cancilla, Michele; Baraldi, Lorenzo; Grana, Costantino "Toward reliable experiments on the performance of Connected Components Labeling algorithms" Journal of Real-Time Image Processing, 1-16.

Grana, Costantino; Bolelli, Federico; Baraldi, Lorenzo; Vezzani, Roberto "YACCLAB - Yet Another Connected Components Labeling Benchmark" Proceedings of the 23rd International Conference on Pattern Recognition , Cancun, Mexico, 4-8 Dec 2016, 2016.

Direct download:

Dataset page: 
URL Link 
Files (#)
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)Labeling Binary Text Medical Fingerprint Video Surveillance Natural Random Noise 
Last Changed2020-06-07 
Turing (2.12+3.25=?) :-)