Deer Detection Computer Vision Project
Roboflow
Updated a month ago
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Classes (25)
* 50% probability of horizontal flip
* Auto-contrast via histogram equalization
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Random Gaussian blur of between 0 and 2 pixels
* Random brigthness adjustment of between -50 and 0 percent
* Random rotation of between -25 and +25 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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Deer-on-roads are annotated in YOLOv8 format.
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The dataset includes 734 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 20, 2023 at 9:31 PM GMT
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deer-on-roads - v1 2023-01-04 11:26am
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{
deer-detection-crkec_dataset,
title = { Deer Detection Dataset },
type = { Open Source Dataset },
author = { Roboflow },
howpublished = { \url{ https://universe.roboflow.com/roboflow-ojtfl/deer-detection-crkec } },
url = { https://universe.roboflow.com/roboflow-ojtfl/deer-detection-crkec },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2025-01-20 },
}