Discrete Tone Image Dataset
Donated on 1/19/2018
Discrete Tone Images(DTI)are available which needs to be analyzed in detail. Here, we created this dataset for those who do research in DTI.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
71
# Features
11
Dataset Information
Additional Information
This dataset contains a total of 71 images including 11 types of images with its distorted versions. Each and every image has its own uniqueness of discrete tone image properties.
Has Missing Values?
No
Variable Information
Types of Images 1.System Generated DTI by setting distinct pixel values 2.Discrete Pixel Logo 3.Business Charts 4.Bi-Level 5.Part of Discrete Information from an Continuous Image Colorspace models 1.RGB 2.Grayscale 3.Binary Distortion Types 1.JPEG 2.Gaussian White Noise (GWN) 3.Salt and Pepper noise (SP) 4.Multiplicative Speckle Noise (MSN) 5.Poisson Noise (PN)
Dataset Files
| File | Size |
|---|---|
| Discrete_Tone_Images.rar | 24.8 MB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset discrete_tone_image_dataset = fetch_ucirepo(id=431) # data (as pandas dataframes) X = discrete_tone_image_dataset.data.features y = discrete_tone_image_dataset.data.targets # metadata print(discrete_tone_image_dataset.metadata) # variable information print(discrete_tone_image_dataset.variables)
J.Uthayakumar, J. (2018). Discrete Tone Image Dataset [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5ZG72.
Creators
J.Uthayakumar J.Uthayakumar
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.