https://github.com/paltaj/cbir_image_deciphers
Content-Based Image Retrieval System using multiple images deciphers for feature extraction
https://github.com/paltaj/cbir_image_deciphers
hog-features-extraction image-search-engine phash search-engine sift-features surf-feature-extraction transfer-learning-with-cnn
Last synced: 2 months ago
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Content-Based Image Retrieval System using multiple images deciphers for feature extraction
- Host: GitHub
- URL: https://github.com/paltaj/cbir_image_deciphers
- Owner: PalTAJ
- Created: 2021-12-07T22:45:06.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-12-08T00:45:03.000Z (over 3 years ago)
- Last Synced: 2025-01-28T19:47:10.557Z (4 months ago)
- Topics: hog-features-extraction, image-search-engine, phash, search-engine, sift-features, surf-feature-extraction, transfer-learning-with-cnn
- Language: Jupyter Notebook
- Homepage:
- Size: 11.7 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CBIR_with_images_deciphers
Content-Based Image Retrieval System using multiple image deciphers for feature extraction
this is the first step of a larger project to simulate a search engine with larger images dataset, where we will design a testing enviroment for each image decipher and report our results.
this current version provide the ability to:
1- index all images with the algorithm of choice
2- query the indexies for a matching image
image deciphers utilized:
algorithm | status
-------|-------
HOG | :white_check_mark:
SIFT | :white_check_mark:
SURF | :white_check_mark:
pHash | :white_check_mark:
Transfer Learning CNNs | :white_check_mark: