Harinishank
Passionate about AI, a skilled communicator, and an eager tech explorer.
M.KUMARASAMY COLLEGE OF ENGINEERING Vellore
Pinned Repositories
CNN_Image_classification.ipynb
Using convolutional neural network (CNN) for image classification, likely classifying images as either "cat" or "dog".
Image_forgery_prediction_mobilenet
Image forgery includes various techniques such as splicing, copy-move, and removal of objects. This project aims to detect such manipulations by leveraging the efficiency and accuracy of the MobileNet architecture. The model is trained on a dataset of authentic and tampered images, allowing it to learn features indicative of forgery.
ImageProcessorSuite
Predicted_image.ipynb
Convolutional Neural Network (CNN) for image classification, trained to distinguish between two classes. The model is built using TensorFlow and Keras. It includes steps for data augmentation, model compilation, training, and evaluation, as well as saving and loading the trained model. Finally.
Harinishank's Repositories
Harinishank/Image_forgery_prediction_mobilenet
Image forgery includes various techniques such as splicing, copy-move, and removal of objects. This project aims to detect such manipulations by leveraging the efficiency and accuracy of the MobileNet architecture. The model is trained on a dataset of authentic and tampered images, allowing it to learn features indicative of forgery.
Harinishank/ImageProcessorSuite
Harinishank/CNN_Image_classification.ipynb
Using convolutional neural network (CNN) for image classification, likely classifying images as either "cat" or "dog".
Harinishank/Predicted_image.ipynb
Convolutional Neural Network (CNN) for image classification, trained to distinguish between two classes. The model is built using TensorFlow and Keras. It includes steps for data augmentation, model compilation, training, and evaluation, as well as saving and loading the trained model. Finally.