Sift features for image classification

And some food items may also belong to multiple clusters simultaneously. Not all of them fulfill the invariances and insensitivity of ideal features. For this, I stack up all the descriptors of all images and I run the k means algorithm with the desired number of clusters.
Sift features for image classification — photo 1
Image features are, loosely speaking, salient po. Royal Photo Company Collection. An important application is image retrieval - searching through an image dataset to obtain or retrieve those images with particular visual content. Each feature point describes one local feature of image. Moreover, this approach allows using feature vectors in different sizes.

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Sift features for image classification
How to prepare underwater photo systems. The code directly returns confusion matrix.