land2 Computer Vision Project
LAND
Updated 5 months ago
1
0
Tags
Classes (26)
* 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
22
23
24
==============================
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.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-12-18 },
}