manhminno / Traffic-Classify

Using SIFT features, BOW, model: SVM

Traffic-Classify

Using SIFT feature, BOW, model: SVM

5 classes: Bus, Car, Moto, Pedestrian, Truck
Extract the SIFT feature from the input images and then build a BOW using KMeans model (100 clusters). Each image will be vectorized into a 100-dimensional vector
Using SVM model to train model

Using SIFT features, BOW, model: SVM

Language:Python 100.0%