1 Computer Vision Project
project-uwlau
Updated a year ago
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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 YOLO v5 PyTorch format.
It 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.ai on February 24, 2022 at 6:44 AM GMT
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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{
1-d2o39_dataset,
title = { 1 Dataset },
type = { Open Source Dataset },
author = { project-uwlau },
howpublished = { \url{ https://universe.roboflow.com/project-uwlau/1-d2o39 } },
url = { https://universe.roboflow.com/project-uwlau/1-d2o39 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-12-19 },
}