The proposed model of this article is focus on visually challenged individuals to navigating the environment and ensure their safety by detecting nearby objects using the machine learning algorithm ...

Hundreds of images can be processed in a few minutes to detect objects in those images. There are many algorithms available now through which this object detection can be performed very fastly. YOLO ...

YOLO v4[1] is a popular single stage object detector that performs detection and classification using CNNs. In this repository we use Complex-YOLO v4[2] approach, which is a efficient method for Lidar ...

Based on YOLO deep learning algorithm and three public aerial image datasets, this paper presents a vehicle detection method for aerial image ... On-Road Multivehicle Tracking Using Deformable Object ...

Our approach employs the YOLO V2 Network algorithm ... a single-stage real-time object detection model with Darknet-19 as a backbone, batch normalizer, using anchor boxes to predict the bounding boxes ...

The mainstream object detection algorithms are based on convolution neural networks (CNN), which are one-stage and two-stage detections, using different feature extraction methods ... the conventional ...

Researchers at Carnegie Mellon University have recently developed a new model that enables fast and accurate object detection in high-resolution 4K and 8K video footage using GPUs ... which is how ...