$2.00
Link for the tutorial : https://youtu.be/WlPuW3GGpQo&list=UULFTiWJJhaH6BviSWKLJUM9sg
Link for the full post : https://eranfeit.net/object-classification-using-xgboost-and-vgg16-classify-vehicles-using-tensorflow/
In this tutorial, we build a vehicle classification model using VGG16 for feature extraction and XGBoost for classification! 🚗🚛🏍️
It will based on Tensorflow and Keras
What You'll Learn 🔍:
* Load and preprocess the dataset (images & labels)
* Encode labels using LabelEncoder
* Normalize images for better training
* Extract deep features using VGG16 (pretrained on ImageNet)
* Reshape and save extracted features
* Train an XGBoost model on the extracted features
* Save the trained model for future inference
* Test the model with a random image