This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...

[and subsequent follow on work: Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection] "In this work we investigate the automatic ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

Human has various ways of exhibiting their emotion, which has placed them at the highest level of civilization among other creatures. These expressions can take the form of speech, facial, gestures, ...

A skin lesion is a growth or appearance of the skin that is abnormal concerning the surrounding skin. Primary and secondary skin lesions are the two types of skin lesions. Primary skin lesions are ...

The continuous development of deep learning improves target detection technology day by day. The current research focuses on improving the accuracy of target detection technology, resulting in the ...

In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a Raspberry Pi 4. We are going to apply a pre-trained model to recognize the ...

Pruning optimises machine learning models by removing redundant or unimportant components. Originally introduced by Yann LeCun, pruning helps prevent overfitting in models. It can be used as a ...

Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant ...