https://github.com/rodneyshag/digitclassification
A project in computer vision: Recognizes images of digits using a Naive Bayes classifier
https://github.com/rodneyshag/digitclassification
computer-vision machine-learning naive-bayes-classifier recognizes-images
Last synced: 5 months ago
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A project in computer vision: Recognizes images of digits using a Naive Bayes classifier
- Host: GitHub
- URL: https://github.com/rodneyshag/digitclassification
- Owner: RodneyShag
- Created: 2017-01-14T23:39:10.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-01-15T00:40:10.000Z (almost 9 years ago)
- Last Synced: 2025-03-11T00:37:34.457Z (10 months ago)
- Topics: computer-vision, machine-learning, naive-bayes-classifier, recognizes-images
- Language: Java
- Homepage:
- Size: 849 KB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# DigitClassification
A project in computer vision: Recognizes images of digits using a [Naive Bayes classifier](https://en.wikipedia.org/wiki/Naive_Bayes_classifier).
![][digits]
The overarching goal of computer vision is to gain a high-level understanding of any image. Here, we have a simpler goal of recognizing images of digits, which are composed of binary features representing the colors black and white. This is accomplished by training a Naive Bayes classifier on a set of approximately 5000 images of digits and then testing it on new images of digits to gauge how well it recognizes them.
[digits]: https://github.com/rshaghoulian/DigitClassification/blob/master/documentation/documentation_files/digits.gif