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## Overview
Cars Color Recognition is a dataset for object detection tasks - it contains Cars Color annotations for 1,800 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 was created by Büşra Sarıkaya
This dataset was created by Hamed Etezadi
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Eye Color is a dataset for classification tasks - it contains Eye Color annotations for 151 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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Color Balls is a dataset for object detection tasks - it contains Balls annotations for 1,800 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
This dataset includes the annual colors for lakes and reservoirs worldwide from 1984 to 2021 by using consistent satellite observations from Landsat 5, 7, and 8. We used the visible dominant wavelength (λd) in the lake centroid to represent the surface color of individual lakes. In particular, those lakes whose centroids are located in non-water areas or surrounding lands have been manually amended. The lake λd was estimated by converting the satellite reflectance in blue, green, and red bands to color wavelengths in the chromaticity color space, which can be perceived by humans. The calculation steps are summarized as follows. First, to reduce the possible influences from the lake bottom on lake surface reflectance, only lakes with a mean depth larger than 2.2 m were kept. Second, to ensure the consistency of surface reflectance across Landsat sensors, the surface reflectance from Landsat 5 and 8 were both cross-calibrated to match with those from Landsat 7. Third, to ensure the reliability of satellite observations, we identified and eliminated observations with clouds, shadows, and snow/ice based on the quality flag in Landsat data. This was performed for the lake centroid and all pixels within a radius of 4 pixels around it, which also tends to reduce the influence of boundary land and vegetation. Fourth, we used the dynamic surface water extent algorithm to assess the reliability of water pixels by detecting the presence of aquatic vegetation. Only observations with at least nine water pixels with high confidence were retained. Fifth, to further reduce potential noise and lake boundary effects, we derived the median surface reflectance value of all pixels, including surface reflectance from the red, green, and blue bands. Last, we converted the λd from the satellite surface reflectance observations. This dataset provides essential references for monitoring the ecological status of global lakes and further supports the sustainable development of water resources in the future.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
huggingface-projects/color-palettes-sd dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
histogram shifting and matching are proposed to randomly adjust the histogram position or shape.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
We aim to remove this unrealistic setting for image colorization by collecting images that are true to their colors. For example, a carrot will have an orange color in most images. Bananas will be either greenish or yellowish. Hence, our choice of images is deliberate in evaluating the method’s strength and any bias to specific colors. Furthermore, we purposefully put a white background to test for any colorization spill by any algorithm.We have collected 723 images from the internet distributed in 20 categories. Each image has an object and a white background.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Hair Color is a dataset for object detection tasks - it contains Hair Recognition annotations for 1,994 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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset supplements the following article:
Witzel, C. (2016). An Easy Way to Show Memory Color Effects. i-Perception, 7(5), 1-11. doi:10.1177/2041669516663751; http://journals.sagepub.com/doi/10.1177/2041669516663751
The Excell file includes three sheets. In all sheets, rows correspond to participants, the three first columns provide sex, age, and colour deficiency (0 = colour deficient, 1 = non-deficient). The columns "memcol" provide the main data, i.e. the choice between the grey and the bluish version of the respective stimulus.
Sheet 1: Study1
Data corresponds to Figure 3: memcol1 = disk, memcol2 = banana.
Sheet 2: Study2a
Data corresponds to Figure 4: memcol1 = disk, memcol2 = banana, memcol3-6 = Mix1-4.
Sheet 3: Study2b
Data corresponds to Figure 5: memcol1-4 = Mix1-4.
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Color Psychology Statistics: Color psychology explores how hues influence human emotions, behaviors, and perceptions. Research indicates that color significantly impacts decision-making and emotional responses. For instance, up to 90% of initial judgments about products are based solely on color, and appropriate color usage can enhance brand recognition by up to 80%.
Colors also affect physiological responses; warm tones like red and yellow can increase heart rate and evoke feelings of excitement or urgency, while cool tones like blue and green tend to have calming effects. These reactions are not only psychological but can also influence physical states, such as appetite and mood
Cultural and individual differences play a role in color perception. For example, while blue is the most favored color globally, preferences can vary based on personal experiences and cultural backgrounds. Understanding these nuances is crucial for applications in marketing, design, and interpersonal communication.
In summary, color psychology provides valuable insights into how colors affect human behavior and preferences, emphasizing the importance of thoughtful color choices in various aspects of daily life. In this Statistics, we shed more light on color psychology statistics.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Shoes Color is a dataset for object detection tasks - it contains Shoes annotations for 500 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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
An Open Context "predicates" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Variables" record is part of the "Kenan Tepe" data publication.
This database consists of over 5000 different color RGB s and its associated 11 basic / common colors (Red, Green, Blue, Yellow, Orange, Pink, Purple, Brown, Grey, Black, and White).
!! All credits to the making of this database goes to Ajinkya Chavan's Medium blog below : https://medium.com/analytics-vidhya/building-rgb-color-classifier-part-1-af58e3bcfef7
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textures-color-normal-1k
Dataset Summary
The textures-color-normal-1k dataset is an image dataset of 1000+ color and normal map textures in 512x512 resolution. The dataset was created for use in image to image tasks. It contains a combination of CC0 procedural and photoscanned PBR materials from ambientCG.
Dataset Structure
Data Instances
Each data point contains a 512x512 color texture and the corresponding 512x512 normal map.
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/dream-textures/textures-color-normal-1k.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Colour - Checker Detection - Dataset
An image dataset of colour rendition charts. This dataset is structured according to Ultralytics YOLO format and ready to use with YOLOv8. The colour-science/colour-checker-detection-models models resulting from the YOLOv8 segmentation training are supporting colour rendition charts detection in the Colour Checker Detection Python package.
Classes
ColorCheckerClassic24: Calibrite / X-Rite ColorCheckerClassic 24
Contact &… See the full description on the dataset page: https://huggingface.co/datasets/colour-science/colour-checker-detection-dataset.
Home Organisations Health Sciences CowDepth2023/096/color Dataset CowDepth2023/096/color
For this study, 737 sweetpotato accessions were obtained from the USDA, ARS, PGRCU, Griffin, GA. Each PI was grown in the field in replicated plots at the U. S. Vegetable Laboratory, Charleston, SC. The mature leaves of each PI was collected and measured using a Konica Minolta Chroma Meter (CR 400). Data were recorded using 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 Sweetpotato Leaves from the USDA, ARS Germplasm Collection." Data parameters collected were lightness (L), red-green coordinate (a), yellow-blue coordinate (b), color intensity or chroma (C), and hue angle (h*). Resources in this dataset:Resource Title: Sweetpotato Leaf Color - Raw Data (Mid-Season). File Name: Sweetpotato-Leaf Color (Mid-Season)-Raw Field Data.xlsxResource Description: Raw colorimetry data from 737 sweetpotato PIsResource Title: Sweetpotato Leaf Color Data Summary (Mid-Season). File Name: Sweetpotato-Leaf Color (Mid-Season)-Summary Table.xlsxResource Description: Summary table of sweetpotato leaf color data from mid-seasonResource Title: Sweetpotato Leaf Color - Raw Data (Late-Season). File Name: Sweetpotato-Leaf Color (Late-Season Purple)-Raw Field Data.xlsxResource Description: Raw colorimetry data from late-season sweetpotato leavesResource Title: Sweetpotato Leaf Color Data Summary (Late-Season). File Name: Sweetpotato-Leaf Color (Late-Season Purple)-Summary Table.xlsxResource Description: Summary table of late-season colorimetry data from sweetpotato leavesResource Title: Sweetpotato Leaf Color - Raw Data (Late Season). File Name: Sweetpotato-Leaf Color (Late-Season Purple)-Raw Field Data.csvResource Description: Raw colorimetry data from late-season sweetpotato leavesResource Title: Sweetpotato Leaf Color Data Summary (Mid Season). File Name: Sweetpotato-Leaf Color (Mid-Season)-Summary Table.csvResource Description: Summary table of sweetpotato leaf color data from mid-seasonResource Title: Sweetpotato Leaf Color Data Summary (Late Season). File Name: Sweetpotato-Leaf Color (Late-Season Purple)-Summary Table.csvResource Description: Summary table of late-season colorimetry data from sweetpotato leaves Resource Title: Sweetpotato Leaf Color - Raw Data (Mid Season) . File Name: Sweetpotato-Leaf Color (Mid-Season)-Raw Field Data.csvResource Description: Raw colorimetry data from 737 sweetpotato PIs Resource Title: Data Dictionary. File Name: Data Dictionary.csvResource Title: Sweetpotato Clomazone Injury- Raw Data. File Name: Sweetpotato-Clomazone Injury-Raw Data.xlsxResource Description: Injury (rated 1-7) caused by applications of clomazone to 564 sweetpotato accessions. (Note: This information was added to the publication after the review process had begun and after the Ag Data Commons dataset had been published and DOI assigned)Resource Title: Sweetpotato Clomazone Injury- Summary. File Name: Sweetpotato-Clomazone Injury-Summary.xlsxResource Description: Summary of clomazone injury on 564 sweetpotato accessions. (Note: This information was added to the publication after the review process had begun and after the Ag Data Commons dataset had been published and DOI assigned)Resource Title: Sweetpotato Clomazone Injury- Raw Data . File Name: Sweetpotato-Clomazone Injury-Raw Data.csvResource Description: Injury (rated 1-7) caused by applications of clomazone to 564 sweetpotato accessions. (Note: This information was added to the publication after the review process had begun and after the Ag Data Commons dataset had been published and DOI assigned)Resource Title: Sweetpotato Clomazone Injury- Summary. File Name: Sweetpotato-Clomazone Injury-Summary.csvResource Description: Summary of clomazone injury on 564 sweetpotato accessions. (Note: This information was added to the publication after the review process had begun and after the Ag Data Commons dataset had been published and DOI assigned)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Cars Color Recognition is a dataset for object detection tasks - it contains Cars Color annotations for 1,800 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).