In order to prevent sudden equipment failures and accidents, it is necessary to conduct regular and irregular regular inspections on important substations and lines. Nameplate is an important power ...

Deep learning has revolutionised the field of image analysis and object detection by enabling computational models to learn hierarchical representations from vast datasets.

At present, the ship detection of optical remote sensing images based on deep learning has made great progress. However, due to the different use scenarios and specific tasks, how to select an ...

Detection of “indeterministic” defect types such as cracks and/or scratches is quite challenging since such defects may have a variety of shapes, locations and severity. Deep learning, a subfield of ...

Demo Workflow Label image Automated labeling with pretrained model Use image Labeler for interactive process automation Train Object detection model SSD (Single-Shot Multibox Detector) YOLOv2 (You ...

Here I would like to discuss only the high-level intuition of Single Shot Multibox Detection Algorithm approach in the regards of the object detection. By using SSD, we only need to take one single ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

In recent years, considering the problems of thick image edge contour, inaccurate positioning, and poor detection accuracy, researchers have proposed a variety of edge detection algorithms based on ...

Image Recognition: Deep learning is used in image recognition systems, like facial recognition or object detection in self-driving cars, where convolutional neural networks (CNNs) are trained to ...