Zizania and Apple Image Dataset

Citation Author(s):
Jingjun
Cao
Submitted by:
Jingjun Cao
Last updated:
Mon, 02/24/2020 - 00:10
DOI:
10.21227/xaqb-kc20
Data Format:
*.zip
License:
Creative Commons Attribution
1318 Views
Categories:
Artificial Intelligence
Computer Vision
Keywords:
Zizania, automatic grading, convolutional neural network, Deep Learning, object classification
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Abstract 

The zizania image dataset consists of a total of 4900 zizanias. The quantity of high quality samples is 2648 and defective quality samples is 2252.

There are four classes in the apple image dataset, which are apples with a diameter greater than 90 mm, between 80 mm and 90 mm, less than 80 mm, and diseases and insect pests. The quantity distributionin above categories are 3647 (51.19%), 2464 (34.59%), 558 (7.83%), 455 (6.39%).

Instructions: 

The zizania image dataset consists of a total of 4900 zizanias. The quantity of high quality samples is 2648 and defective quality samples is 2252.

There are four classes in the apple image dataset, which are apples with a diameter greater than 90 mm, between 80 mm and 90 mm, less than 80 mm, and diseases and insect pests. The quantity distributionin above categories are 3647 (51.19%), 2464 (34.59%), 558 (7.83%), 455 (6.39%).

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Submitted by Hieu Luu on Mon, 04/20/2020 - 08:38

thanks

Submitted by Md. Manzurul Islam on Wed, 12/07/2022 - 07:06

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