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
82 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.

Instructions: 

No instructions neede. Just unzip the folder there will be two other zipped folders one for the fresh oranges while the other for the rotten ones. 

Comments

need for mini project

 

Submitted by Harshavardhan S on Thu, 10/24/2024 - 20:12

need for graduation project

Submitted by Amr Hadad on Sat, 11/02/2024 - 08:23

Dataset Files

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Documentation

AttachmentSize
File Dataset Documentation.pdf136.72 KB

 

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