Roboflow Universe York co

co Computer Vision Project

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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 2024-06-21 },
                            }

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Source

York

Last Updated

a month ago

Project Type

Object Detection

Subject

coco

Views: 5

Downloads: 1

License

CC BY 4.0

Classes

* 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)) 15 16 17 18 19 20 21 ============================== 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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