Vitiligo Detection using Convolutional Neural Networks: Automated Image Collection and Classification Overview This project aims to develop a Convolutional Neural Network (CNN) model to accurately ...

This model is trained using the above dataset and is then used to classify new images with an accuracy of roughly 94%. This work also proposes a detect classification method which can identify the ...

(ii) Implement the time-distributed CNN-LSTM model for activity detection using EEG and fNIRS recurrence ... associated with every label attached to the image. The label with the highest probability ...

This work involves collecting and pre-processing diverse plant image datasets, which are then resized and augmented using the FastAI library in Python to improve model generalization. A convolutional ...

Design of a Skin Cancer Detection Classification with Python GUI and ... (CNN) classification method to analyse and identify skin lesions that have the potential to become cancerous. CNN is then used ...

This work describes a workshop that teaches basics of CV using ML (image classification, object detection) using Python notebook examples in Google ... image classification with convolutional neutral ...

CapsNet is used to address the shortcomings of convolutional neural networks for image ... classification using the DL model CNN. To the best of our knowledge, the paper (20) implemented a hybrid ...