Developed a food recognition system using Deep Neural Networks (DNN) and the VGG16 architecture in Python, leveraging the power of deep learning for image classification tasks. The project involved ...

Sorting waste into the right categories, like plastic, glass, metal, or paper, is not as simple as it sounds. To make this tiresome job easier, researchers have developed a smart waste classification ...

Abstract: Image classification may improve deaf-non-signer communication by recognizing the American Sign Language (ASL) alphabet. Deep Learning (DL) applications, especially the VGG16 architecture, ...

Abstract: This work aims at investigating classification of skin lesion in order to detect melanoma using deep learning models such as VGG16 and InceptionV3. Skin cancer especially the melanoma needs ...