Data Set Coffee Beans Color

## Overview

Data Set Coffee Beans Color is a dataset for object detection tasks - it contains Coffee annotations for 1,000 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset contains color photographs taken between the 1930s and 1970s. The goal of the dataset is to develop methods for dating historical color photographs

Dataset

This dataset was created by Büşra Sarıkaya

Contents

Plate Color

## Overview

Plate Color is a dataset for object detection tasks - it contains Colors annotations for 2,141 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

huggingface-projects/color-palettes-sd dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset to segment RGB colour space into 100 colour names. Each point in colour space can be assigned to a colour name by finding the nearest neighbour.

Data contains 100 colour names which correspond to well-distributed coordinates in RGB-colour space. The data were obtained by clustering more than 1000 colours from joined data sets from xkcd (https://xkcd.com/color/rgb/, https://xkcd.com/color/satfaces.txt) and the webcolors package (https://github.com/ubernostrum/webcolors) to 100 clusters using KMeans.

1) Data Introduction • The Color associations in Art: Pt 1 Warmth Dataset is a color/emotional association dataset that provides information on whether or not the color is warm (1) along with various color HEX, RGB, and HSV codes, and in a tabular format on the emotion or characteristics associated with the color.

2) Data Utilization (1) Color associations in Art: Pt 1 Warmth Dataset has characteristics that: • Each color includes 'warm' (binary label) along with various color codes such as unique ID, HEX, RGB, HSV, and the emotions or characteristics commonly associated with that color (e.g., stability, sadness, passion, etc.). • Some colors are separated into different shades (e.g., navy blue, sky blue, etc.) within the same series, even reflecting differences in emotional relevance due to color change. (2) Color associations in Art: Pt 1 Warmth Dataset can be used to: • Development of color classification and emotion prediction models: Using various color codes and emotion labels, AI can build a model that automatically classifies and predicts the warmth/coldness and associative emotions of colors. • Use art, design and marketing: Based on color-specific emotional relevance data, it can be applied to establish strategies that take into account color psychology and emotional responses in works of art, brand design, and advertising.

An Open Context "predicates" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Variables" record is part of the "Madaba Plains Project-`Umayri" data publication.

This dataset contains 10 class of color, each color class contains 25 images.

Vehicle Color

## Overview

Vehicle Color is a dataset for classification tasks - it contains Vehicle Color annotations for 209 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Home Organisations Health Sciences CowDepth2023/094/color Dataset CowDepth2023/094/color

Color Names Dataset

The Color Names Dataset is a collection of color names mapped to their respective RGB (Red, Green, Blue) values. This dataset can be useful for developers, designers, and artists who wish to have a reference of colors by name and their corresponding RGB values.

Dataset Highlights: - File Format: CSV - Data Fields: Typically, a dataset of this nature would have fields like Color Name, Red, Green, Blue. - Repository: color-names on GitHub

Each row in the dataset represents a unique color, with its name and RGB values which are essential for digital color representation.

Usage: This dataset can be utilized in various projects such as: - Developing color picker tools - Designing websites or applications - Artistic projects requiring color name references - Machine Learning projects related to color recognition or categorization

Downloading the Dataset: - You can download the dataset directly from the GitHub repository.

License: - Please check the repository for licensing information before using or sharing the dataset.

BabysunNuggets/color dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset contains 16,777,216 images, each representing a unique RGB color. Each image is a 256x256 pixel JPEG file, categorized into folders named after its RGB hexadecimal code. For example, the folder ff0000 contains images representing the color red (RGB: 255, 0, 0).

Content:

Structure: Each image file is named in the format {hex_code}_image_{index}.jpg, where {hex_code} represents the RGB hexadecimal code of the color and {index} is a sequential number (e.g., ff0000_image_0000.jpg, 00ff00_image_0001.jpg, etc.).

Folders: Images are organized into folders named after their RGB hexadecimal codes. For instance, the folder 000000 contains images for the color black (RGB: 0, 0, 0).

Usage:

Research: This dataset can be used for research in computer vision, color recognition, and image processing tasks.

Education: Useful for educational purposes to understand RGB color representation and visualization.

Training: Suitable for training machine learning models that require large-scale color data.

737 PI accessions from the US Department of Agriculture, Agricultural Research Service Sweetpotato Collection were grown in the field and in greenhouse pots, and storage roots were harvested. The periderm (skin) and stele (flesh) of storage roots were measured using a Konica Minolta Chroma Meter (CR 400, Konica Minolta, Inc., Tokyo, Japan), and data were recorded using the CIE 1976 Lab and CIE LCh color spaces. Data from this study is contained in a manuscript that will be submitted to Genetic Resources and Crop Evolution under the title "Color Analysis of Storage Roots from the USDA, ARS Sweetpotato Germplasm Collection." Data parameters presented are lightness (L), red-green coordinate (a), yellow-blue coordinate (b), color intensity or chroma (C), and hue angle (H*). Also included in this data set are percentage dry matter and root densities as these data are correlated to color values. Resources in this dataset:Resource Title: Sweetpotato Periderm-Field. File Name: Sweetpotato-Periderm-Field.xlsxResource Description: Colorimeter data for the periderm of field-grown sweetpotato storage rootsResource Title: Sweetpotato Periderm - Pots. File Name: Sweetpotato-Periderm-Pots.xlsxResource Description: Colorimeter data for the periderm of pot-grown sweetpotato storage rootsResource Title: Sweetpotato Stele - Field. File Name: Sweetpotato-Stele-Field.xlsxResource Description: Colorimeter data for the stele of field-grown sweetpotato storage rootsResource Title: Sweetpotato Stele - Pots. File Name: Sweetpotato-Stele-Pots.xlsxResource Description: Colorimeter data for the stele of pot-grown sweetpotato storage rootsResource Title: Sweetpotato Dry Weights - Field. File Name: Sweetpotato-DryWt-Field.xlsxResource Description: Dry weight and root density data for the stele of field-grown sweetpotato storage rootsResource Title: Sweetpotato Periderm - Summary Table. File Name: Sweetpotato-Periderm-Summary Table.xlsxResource Description: Colorimeter and dry weight summaries for the periderm of field-grown and pot-grown sweetpotato storage rootsResource Title: Sweetpotato Stele - Summary Table. File Name: Sweetpotato-Stele-Summary Table.xlsxResource Description: Colorimeter and dry weight summaries for the stele of field-grown and pot-grown sweetpotato storage rootsResource Title: Sweetpotato Stele - Summary Table. File Name: Sweetpotato-Stele-Summary Table.csvResource Description: CSV version of the data for Colorimeter and dry weight summaries for the stele of field-grown and pot-grown sweetpotato storage roots Resource Title: Sweetpotato Dry Weights - Field. File Name: Sweetpotato-DryWt-Field.csvResource Description: CSV version of Dry weight and root density data for the stele of field-grown sweetpotato storage roots Resource Title: Sweetpotato Stele - Field. File Name: Sweetpotato-Stele-Field.csvResource Description: CSV version of the Colorimeter data for the stele of field-grown sweetpotato storage roots Resource Title: Sweetpotato Periderm-Field. File Name: Sweetpotato-Periderm-Field.csvResource Description: CSV version of Colorimeter data for the periderm of field-grown sweetpotato storage roots Resource Title: Data Dictionary - Color Analysis of Storage Roots from the USDA, ARS Sweetpotato Germplasm Collection. File Name: sweetpotato_DD.csvResource Title: Sweetpotato Stele - Pots. File Name: Sweetpotato-Stele-Pots.csvResource Description: CSV version of Colorimeter data for the stele of pot-grown sweetpotato storage roots Resource Title: Sweetpotato Periderm - Pots. File Name: Sweetpotato-Periderm-Pots.csvResource Description: CSV version of Colorimeter data for the periderm of pot-grown sweetpotato storage roots Resource Title: Sweetpotato Periderm - Summary Table. File Name: Sweetpotato-Periderm-Summary Table.csvResource Description: CSV version of data for Colorimeter and dry weight summaries for the periderm of field-grown and pot-grown sweetpotato storage roots

The DOD Counterdrug Technology Program sponsored the Facial Recognition Technology (FERET) program and development of the FERET database. The National Institute of Standards and Technology (NIST) is serving as Technical Agent for distribution of the FERET database. The goal of the FERET program is to develop new techniques, technology, and algorithms for the automatic recognition of human faces. As part of the FERET program, a database of facial imagery was collected between December 1993 and August 1996. The database is used to develop, test, and evaluate face recognition algorithms.

Vehicle color classification under different lighting conditions through color correction

This repository contains per-trial data and R analysis code reported in Stauch, B., Peter, A., Ehrlich, I., Nolte, Z., and Fries, P. (2022), Human visual gamma for color stimuli. eLife 11:e75897. doi: 10.7554/eLife.75897. If you want to have a look at the full analysis outcomes, start with analysis_notebook.html. The underlying code is in analysis_notebook.rmd.

Additionally, Matlab code that was used to extract per-trial data from the raw data is provided as preprocessingCode.zip.

loluvulol/princesses-of-color-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community