abhisooraj / car_model_recognition

Object Classification model to identify the model of a Car

Car_Model_Recognition

Object Classification model to identify the model of a car Task “To build an image recognition model which is capable of identifying the Model of a Car from an image”

• For building the Image recognition model we will follow these following steps:

Step 1: Creating & Reading the dataset

A: Writing Scrapper for downloading the Car images B: Maintaining A CSV file for better preprocessing

Step 2: Preprocess and analyze the dataset (Check for shape, Total Number of labels, Column content overview)

Step 3: Drop the Unnecessary columns and preprocessed the dataset

Step 4: Assign the class weights for labels and divide the dataset in training, validation and testing parts

Step 5: Define the density, activation function for training the model using keras Tensorflow

Step 6: Now validate the model and store the results in csv files

Step 7: Visualizations of the results