carsv1 Computer Vision Project
school
Updated 4 months ago
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* 50% probability of horizontal flip
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random exposure adjustment of between -15 and +15 percent
* Random rotation of between -5 and +5 degrees
* Random shear of between -15° to +15° horizontally and -15° to +15° vertically
* 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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Classification-of-cars - v3 2024-03-02 11:14pm
For state of the art Computer Vision training notebooks you can use with this dataset,
Pedicab-trailertruck-semi-trail are annotated in YOLO v5 PyTorch format.
Roboflow is an end-to-end computer vision platform that helps you
SUV Six-wheeled vehicle bus
The dataset includes 17428 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 June 24, 2024 at 3:27 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
bus car motorbike no-plate
pl_license_plate
songthaew
truck van 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{
carsv1_dataset,
title = { carsv1 Dataset },
type = { Open Source Dataset },
author = { school },
howpublished = { \url{ https://universe.roboflow.com/school-0hxvm/carsv1 } },
url = { https://universe.roboflow.com/school-0hxvm/carsv1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jun },
note = { visited on 2024-11-08 },
}