co Computer Vision Project
York
Updated 7 months ago
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* 50% probability of horizontal flip
* 50% probability of vertical flip
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
* Random Gaussian blur of between 0 and 0.5 pixels
* Random brigthness adjustment of between -16 and +16 percent
* Random exposure adjustment of between -6 and +6 percent
* Resize to 600x600 (Fit (white edges))
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Chocolates are annotated in YOLO v5 PyTorch format.
Dark Marzipan
It includes 267 images.
Milk California Brittle
Milk Mayfair
Milk Mocha
Milk Molasses Chips
The following augmentation was applied to create 5 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.ai on February 7, 2022 at 5:29 PM GMT
Valentine's Chocolates - v4 Fixed Annotations
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LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
co-wyzar_dataset,
title = { co Dataset },
type = { Open Source Dataset },
author = { York },
howpublished = { \url{ https://universe.roboflow.com/york-gbky7/co-wyzar } },
url = { https://universe.roboflow.com/york-gbky7/co-wyzar },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-11-24 },
}