classification_deneme Computer Vision Project
MyDatas
Updated 6 months ago
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Classes (23)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
* 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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For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 18310 images.
The following pre-processing was applied to each image:
Thing are annotated in YOLOv8 format.
This dataset was exported via roboflow.com on May 8, 2024 at 8:52 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
spark_dataset_v2 - v1 spark_v2_640x640_noaugment
visit https://github.com/roboflow/notebooks
A description for this project has not been published yet.
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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{
classification_deneme_dataset,
title = { classification_deneme Dataset },
type = { Open Source Dataset },
author = { MyDatas },
howpublished = { \url{ https://universe.roboflow.com/mydatas/classification_deneme } },
url = { https://universe.roboflow.com/mydatas/classification_deneme },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-11-21 },
}