Valentines Chocolates Computer Vision Project
yolo
Updated 7 months ago
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Classes (23)
* 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
* Resize to 600x600 (Fit (white edges))
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* understand and search unstructured image data
* use active learning to improve your dataset over time
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Chocolates Chocolates are annotated in YOLOv8 format.
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The dataset includes 267 images.
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.com on June 4, 2023 at 12:27 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Valentines Chocolates - v4 Fixed Annotations
visit https://github.com/roboflow/notebooks
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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
valentines-chocolates-mkhbb_dataset,
title = { Valentines Chocolates Dataset },
type = { Open Source Dataset },
author = { yolo },
howpublished = { \url{ https://universe.roboflow.com/yolo-90yqu/valentines-chocolates-mkhbb } },
url = { https://universe.roboflow.com/yolo-90yqu/valentines-chocolates-mkhbb },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-12-22 },
}