https://github.com/defi0x1/Classification-SIFT-SVM

Build a classifier to classify transport using sift and svm
https://github.com/defi0x1/Classification-SIFT-SVM

bag-of-words classification gridsearchcv sift-algorithm sift-descriptors svm svm-classifier

Last synced: about 1 month ago
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Build a classifier to classify transport using sift and svm

• Host: GitHub
• URL: https://github.com/defi0x1/Classification-SIFT-SVM
• Owner: defi0x1
• Created: 2019-06-21T11:17:14.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2021-12-26T06:42:08.000Z (almost 4 years ago)
• Last Synced: 2025-07-21T14:50:54.983Z (3 months ago)
• Topics: bag-of-words, classification, gridsearchcv, sift-algorithm, sift-descriptors, svm, svm-classifier
• Language: Python
• Homepage:
• Size: 31.1 MB
• Stars: 10
• Watchers: 0
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Classification-SIFT-BoW-SVM

Build a classifier to classsification transport using sift, bag of words and svm

# Tree Project

Root/ 

    data  # Data contains total 1854 image of 5 classes: bus, car, moto, pedestrian 

    

    data_loader.py  # Imread image and label for data

    

    sift_extractors.py # Extract features with SIFT and Build Bag of Word

    

    build_model.py  # Build model SVM and training

    

    gridSearchCV    # implement GridSearchCV find Hyper-params

    

# Hyperparameters

  - Number of centroid in Kmean: 60

  - Penalty parameter C of the error term in SVM: 30

# Label 

  - 'moto': 0

  - 'car': 1

  - 'pedestrian': 2

  - 'truck': 3

  - 'bus': 4

  

# Statistic Data

    - Statistics All Classes

    

 

    

    - Statistics Classes

    

 

 

 # Accuracy 

    - Accuracy score: 72.9% - test size: 0.2 

  

 # Using GridSearchCV

    - Best params

    

        'clf__C': 5,

        'clf__gamma': 0.01,

        'clf__kernel': 'rbf'

        

     - Accuracy:  75.72% +/-1.52%

    

 # Requirements

    - opencv-contrib-python==3.4.2.16

    

    - opencv-python==3.4.2.16