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Royi
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What are some relevant feature descriptors Feature Extraction for recognition of imagesImage Classification of fruits/vegetables?Vegetables and Fruits Using Classic Computer Vision Techniques

I dontdon't know if this is the right place to ask this but lets go. I am a beginner in computer vision and I have a project of fruit recognition (with this datasetbased on https://www.kaggle.com/moltean/fruits/code)Kaggle's Fruit 360 dataset. I know that CNNs are the obvious choice but I wanted to try some classical approaches (and practice OpenCV in the process :) ). But I dontdon't know what would be good methodological choices. I thought about using Histogram of Oriented Gradients, Global Color Histogram, but I am not sure if they are relevant. Also, would PCA make sense here? I would be thankful for any ideas.

What are some relevant feature descriptors for recognition of images of fruits/vegetables?

I dont know if this is the right place to ask this but lets go. I am a beginner in computer vision and I have a project of fruit recognition (with this dataset https://www.kaggle.com/moltean/fruits/code). I know that CNNs are the obvious choice but I wanted to try some classical approaches (and practice OpenCV in the process :) ). But I dont know what would be good methodological choices. I thought about using Histogram of Oriented Gradients, Global Color Histogram, but I am not sure if they are relevant. Also, would PCA make sense here? I would be thankful for any ideas.

Feature Extraction for Image Classification of Vegetables and Fruits Using Classic Computer Vision Techniques

I don't know if this is the right place to ask this but lets go. I am a beginner in computer vision and I have a project of fruit recognition based on Kaggle's Fruit 360 dataset. I know that CNNs are the obvious choice but I wanted to try some classical approaches (and practice OpenCV in the process :) ). But I don't know what would be good methodological choices. I thought about using Histogram of Oriented Gradients, Global Color Histogram, but I am not sure if they are relevant. Also, would PCA make sense here? I would be thankful for any ideas.

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Manveru
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Manveru
Manveru
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What are some relevant feature descriptors for recognition of images of fruits/vegetables?

I dont know if this is the right place to ask this but lets go. I am a beginner in computer vision and I have a project of fruit recognition (with this dataset https://www.kaggle.com/moltean/fruits/code). I know that CNNs are the obvious choice but I wanted to try some classical approaches (and practice OpenCV in the process :) ). But I dont know what would be good methodological choices. I thought about using Histogram of Oriented Gradients, Global Color Histogram, but I am not sure if they are relevant. Also, would PCA make sense here? I would be thankful for any ideas.