land2 Computer Vision Project
LAND
Updated 3 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 Gaussian blur of between 0 and 4 pixels
* Resize to 640x640 (Fit (reflect edges))
* 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,
Plant are annotated in YOLOv8 format.
Plants Detection - v13 2023-07-28 5:57pm
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 6045 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 July 28, 2023 at 11:03 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
visit https://github.com/roboflow/notebooks
zararli
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{
land2-nknel_dataset,
title = { land2 Dataset },
type = { Open Source Dataset },
author = { LAND },
howpublished = { \url{ https://universe.roboflow.com/land-iyp1a/land2-nknel } },
url = { https://universe.roboflow.com/land-iyp1a/land2-nknel },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2024-10-18 },
}