Oranges Classification

Citation Author(s):
Radwa
Hussein
German International University
Submitted by:
Radwa Elshenawy
Last updated:
Mon, 07/08/2024 - 15:59
DOI:
10.21227/fm4f-1n74
Data Format:
*.jpg (zip) *.png (zip)*.txt (zip)
License:
Creative Commons Attribution
22 Views
Categories:
Artificial Intelligence
Machine Learning
Image Processing
Keywords:
computer vision, Dataset Generation, fruit classification, Industry 4.0, Machine Learning, Quality control.
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Abstract 

This dataset containg 1900+ images divided into fresh oranges and rotten oranges. In an orange packing factory, a video was recorded, by placing the camera parallel and above the oranges conveyor. The video was captured for 10 minutes with a quality of Ultra High Definition (4K) with 60 frames per second and a High Dynamic Range feature. The video was changed from High Dynamic Range to Standard Dynamic Range by the use of Splice - Video Editor & Maker software. The video is inserted to developed algorithm operating video processing on it and creating the frames. Resulting in 1,743 fresh oranges and 245 rotten oranges.

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Documentation

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File Dataset Documentation.pdf136.72 KB

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