CranCart_BerryFinder_GoPro Computer Vision Project
usdacranberrybreeding
Updated 9 months ago
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Description
This objective of this project is to use RGB images to count and size berries in each of many cranberry breeding plots. The end goal is to develop a pipeline that will allow us to estimate yield, fruit rot incidence, fruit quality, foliar disease incidence on many more breeding plots than might be possible using visual assessment.
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LICENSE
MIT If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
crancart_berryfinder_gopro_dataset,
title = { CranCart_BerryFinder_GoPro Dataset },
type = { Open Source Dataset },
author = { usdacranberrybreeding },
howpublished = { \url{ https://universe.roboflow.com/usdacranberrybreeding/crancart_berryfinder_gopro } },
url = { https://universe.roboflow.com/usdacranberrybreeding/crancart_berryfinder_gopro },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-12-31 },
}