Image Classification
Keras
English
biology
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  ### Selected models
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  - For classification, we use the basic structure of Artificial Neutral Network (ANN) and Convolutional Neutral Network (CNN).
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- - For feature extractor, we constructed a Convolutional Neural Network (CNN) to extract feature vectors from user preferences image
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  - Apply a K-Means unsupervised machine learning model to cluster the reference image's feature vector with those of the images in our database.
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  ### Limitations
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- - Since our target customer are small flower shops, we just use a sample of 8 flower species with 16362 images.
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  ### How to use :
 
 
 
 
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  ### Selected models
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  - For classification, we use the basic structure of Artificial Neutral Network (ANN) and Convolutional Neutral Network (CNN).
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+ - For the feature extractor, we constructed a Convolutional Neural Network (CNN) to extract feature vectors from user preferences image
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  - Apply a K-Means unsupervised machine learning model to cluster the reference image's feature vector with those of the images in our database.
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  ### Limitations
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+ - Since our target customers are small flower shops, we just use a sample of 8 flower species with 16362 images.
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  ### How to use :
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+ - Dependencies :
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+ - ```huggingface-hub```,
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+ - ```gitlfs```