food_ingredients Computer Vision Project

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* 50% probability of horizontal flip
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise
* Random rotation of between -15 and +15 degrees
* Randomly crop between 0 and 20 percent of the image
* Resize to 416x416 (Stretch)
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Food ingredient recognition - v4 2022-02-24 1:40pm
Food-ingredient are annotated in YOLOv8 format.
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The dataset includes 3409 images.
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on March 31, 2023 at 10:38 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
visit https://github.com/roboflow/notebooks

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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{
                            food_ingredients_dataset,
                            title = { food_ingredients Dataset },
                            type = { Open Source Dataset },
                            author = { intrligentnaksiazkakucharska },
                            howpublished = { \url{ https://universe.roboflow.com/intrligentnaksiazkakucharska/food_ingredients } },
                            url = { https://universe.roboflow.com/intrligentnaksiazkakucharska/food_ingredients },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-12-19 },
                            }
                        
                    

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