Corn Kernel Counting Dataset

agriculture computer vision machine learning

Description

Dataset associated with the March 2021 Frontiers in Robotics and AI paper "Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels", DOI: 10.3389/frobt.2021.627009

Update Frequency

Periodically

License

Provided in the bucket.

Documentation

https://www.frontiersin.org/articles/10.3389/frobt.2021.627009/abstract

Managed By

Intelinair, Inc.

See all datasets managed by Intelinair, Inc..

Contact

support@intelinair.com

Usage Examples

Publications

Resources on AWS

  • Description
    Folder contains the terms of use, paper, and zip file of data in COOC format. Each kernel is annotated with an instance mask and appropriate class. The datset is broken into three subcomponents. The "base" (i.e. "corn") subset contains images from a wide variety of domains such as those you might find on the internet. The "narrow" subset contains images with a single ear as would be anticipated in the application. The "many" dataset resembles the base dataset but has a huge number of ears and kernels in each image. Images were annotated for (healthy) kernels, diseased kernels, “incomplete” (i.e. not fully matured) kernels, barren tips (i.e where the top of the ear does not produce kernels), and “kernel areas” where on-ear kernels were166present but resolution/lighting prevented annotation.
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::intelinair-data-releases/corn-kernel-counting
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://intelinair-data-releases/corn-kernel-counting/ --no-sign-request

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