Indian Dance Form -Image Classification

Abstract-The Indian Dance Forms - Image Classification is a computer vision project that aims to classify Indian dance forms using Convolutional Neural Networks (CNNs). In this project, we have used the Indian Dance Classification database to train the CNN model using Keras.The project involved the following steps: Loading the data: The dataset was loaded from the training directory and split into training and validation sets. Preprocessing the data: The images were resized to a common size of 150x150pixels, and their pixel values were normalized by dividing by 255, Building the model: A CNN model was built using Keras, consisting of convolutional layers, pooling layers, and fully connected layers. The model was compiled with the Adam optimizer and trained on the training set, Evaluating the model: The model was evaluated on the validation set to check its accuracy and performance. It was also used to make predictions on test images, Visualizing the results: The predictions were visualized using the`display_random_img function, which displayed a random test image along with its predicted class and confidenc