A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous ...
The new AI-based graphics tool bridges the gap between perfect imaging of objects in lab environments and capturing messy ...
High school student Matteo Paz wrote an algorithm with Caltech that helped find changes in space the naked eye missed, earning him a published paper and prize.
object-detection-dataset/ ├── train/ │ ├── images/ # 800 training images │ │ ├── image_001.jpg │ │ ├── image_002.jpg ...
Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: Traffic monitoring reduces congestion, improves safety, and supports environmental sustainability. Real-time flow tracking, anomaly detection, and efficient management are key. Convolutional ...
This project aims to demonstrate how to configure visible and infrared datasets to accommodate multimodal object detection tasks based on YOLOv11. With three different configuration methods (directory ...
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