Object Classification Using VGG16 and XGBoost for Vehicle Classification with TensorFlow

Learn to classify vehicles using TensorFlow in this comprehensive tutorial on object classification with VGG16 and XGBoost. Begin by preparing and preprocessing a dataset of vehicle images across five categories. Extract features using the VGG16 model, then train an XGBoost classifier on these features. Test the model's performance by predicting classes for random test images. Gain hands-on experience with data preparation, feature extraction, model training, and testing while working with popular deep learning frameworks and machine learning algorithms.

Intro !!!!!!!
Download and prepare the data
Feature Extraction with VGG16
Train an XGBoost classifier using the extracted features.
Test the model