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