SpekDetectie Computer Vision Project
Dretn
Updated 6 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)
* Random exposure adjustment of between -15 and +15 percent
* Random rotation of between -15 and +15 degrees
* Random shear of between -15° to +15° horizontally and -15° to +15° vertically
* Resize to 640x640 (Stretch)
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==============================
Food are annotated in YOLOv8 Oriented Object Detection format.
For state of the art Computer Vision training notebooks you can use with this dataset,
New Instance segment Planeat - v4 2024-03-11 7:56pm
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The dataset includes 1213 images.
The following augmentation was applied to create 2 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on May 2, 2024 at 7:26 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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LICENSE
MIT If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
spekdetectie_dataset,
title = { SpekDetectie Dataset },
type = { Open Source Dataset },
author = { Dretn },
howpublished = { \url{ https://universe.roboflow.com/dretn/spekdetectie } },
url = { https://universe.roboflow.com/dretn/spekdetectie },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-11-08 },
}