Image Category Classification Using Bag of Features
Version 1.0.0 (2,11 MB) von
Kunal Khandelwal
This example shows how to use a bag of features approach for image category classification. About Dataset 5-Flowers Dataset is used
This example shows how to use a bag of features approach for image category classification. This technique is also often referred to as bag of words. Visual image categorization is a process of assigning a category label to an image under test.
About Dataset
5-Flowers Dataset
The 5-flowers dataset was created by Google and placed in the public domain with a Creative Commons license. It is published as a TensorFlow dataset and available in a public.
There are five types of flowers in the 5-flowers dataset, and each image in the dataset has already been labeled with the type of flower it depicts.
url = "http://download.tensorflow.org/example_images/flower_photos.tgz";
Zitieren als
Kunal Khandelwal (2025). Image Category Classification Using Bag of Features (https://de.mathworks.com/matlabcentral/fileexchange/159371-image-category-classification-using-bag-of-features), MATLAB Central File Exchange. Abgerufen.
Kompatibilität der MATLAB-Version
Erstellt mit
R2023b
Kompatibel mit allen Versionen
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Quellenangaben
Inspiriert von: Image Classification with Bag of Visual Words
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| Version | Veröffentlicht | Versionshinweise | |
|---|---|---|---|
| 1.0.0 |
