https://github.com/tanyachutani/keras-reverse-image-search-using-lsh-and-cosine-similarity
Keras Reverse Image Search using Locality Sensitive Hashing on Caltech 101 Dataset
https://github.com/tanyachutani/keras-reverse-image-search-using-lsh-and-cosine-similarity
cnn convolutional-neural-networks cosine-similarity image-search keras lsh reverse-image-search tensorflow
Last synced: about 1 month ago
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Keras Reverse Image Search using Locality Sensitive Hashing on Caltech 101 Dataset
- Host: GitHub
- URL: https://github.com/tanyachutani/keras-reverse-image-search-using-lsh-and-cosine-similarity
- Owner: TanyaChutani
- Created: 2020-01-21T09:57:34.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-01-22T10:03:11.000Z (over 5 years ago)
- Last Synced: 2025-04-29T14:36:24.193Z (5 months ago)
- Topics: cnn, convolutional-neural-networks, cosine-similarity, image-search, keras, lsh, reverse-image-search, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 876 KB
- Stars: 6
- Watchers: 1
- Forks: 6
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Keras-Reverse-Image-Search-Using-LSH
Keras Reverse Image Search using Locality Sensitive Hashing on Caltech 101 Dataset
## For downloading the Dataset:
http://www.vision.caltech.edu/Image_Datasets/Caltech101/
## Steps Followed:
1 Loading the data
2 Sorted images based on category.
2 Used xception and take the output from last dense layer.
3 Make a feature vector of all the training data.
4 For the test data make the feature vector and to check similarity used LSH and Cosine Similarity.
## Result:
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