Traffic_Object_detection Computer Vision Project
Internship
Updated 5 months ago
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Classes (23)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 2.5 pixels
* Random rotation of between -15 and +15 degrees
* 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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Cars are annotated in YOLOv9 format.
For state of the art Computer Vision training notebooks you can use with this dataset,
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 16020 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 9, 2024 at 3:48 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
vehicle detection in different environmental conditions - v3 2024-06-09 9:06pm
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{
traffic_object_detection-q76da_dataset,
title = { Traffic_Object_detection Dataset },
type = { Open Source Dataset },
author = { Internship },
howpublished = { \url{ https://universe.roboflow.com/internship-9qgxs/traffic_object_detection-q76da } },
url = { https://universe.roboflow.com/internship-9qgxs/traffic_object_detection-q76da },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2024-12-22 },
}