Cell Phone Image-Based Persian Rice Detection and Classification Using Deep Learning Techniques

arXiv:2404.13555v1 Announce Type: new
Abstract: This study introduces an innovative approach to classifying various types of Persian rice using image-based deep learning techniques, highlighting the practical application of everyday technology in food categorization. Recognizing the diversity of Persian rice and its culinary significance, we leveraged the capabilities of convolutional neural networks (CNNs), specifically by fine-tuning a ResNet model for accurate identification of different rice varieties and employing a U-Net architecture for precise segmentation of rice grains in bulk images. This …

abstract application arxiv capabilities classification cs.ai cs.cv deep learning deep learning techniques detection diversity food highlighting image phone practical significance study technology type types