An Efficient Real-time Metal Crack Detection Model Based on RT …
To address this issue, this paper proposes an improved RT-DETR object detection algorithm to enhance the effect of metal crack detection. The model introduces an additional prediction …
An Improved Mask R-CNN Micro-Crack Detection Model for the …
Dec 22, 2023 · Aiming at improving the low accuracy of the conventional target detection model during the task of detecting micro-cracks on the surface of metal structural parts, this paper …
GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection
Aug 20, 2021 · We propose an end-to-end metal crack detection model, named Guiding Feature U-Net (GFU-Net), which uses the encoder-decoder architecture to achieve precise crack …
We provide a comprehensive approach to designing and implementing a robust machine learning-based system for the identification of surface fractures in metal. Our approach aims to …
AI Crack Detection & Segmentation with YOLOv8 - Ultralytics
Using AI for crack detection and segmentation. Learn why it’s important to detect cracks in industrial settings and how crack detection using deep learning models like Ultralytics YOLOv8 …
A Stable Lightweight Model for Metal Crack Detection Based on …
The model adds a quadruple down-sampling feature extractor, puts cross-layer connection lines between Head and Backbone, increases the SE attention mechanism, and adjusts the loss …
Crack Detection for Metal Surfaces Using Deep Learning Model
Abstract: The walls of metal surfaces may crack due to environmental changes and subpar surface materials, it is necessary for upkeep as well as exposure that is ongoing and will …
Deep neural networks for crack detection inside structures
Feb 23, 2024 · We found that a robust backbone network, such as Densely Connected Convolutional Network (DenseNet) can effectively extract the features characterizing cracks of …
miraJhq/Surface-Crack-Detection: Dataset - GitHub
A Deep Convolutional Neural Network model to detect crack on a concrete/metal surface through its image. Built in kaggle Notebook on Google Colaboratory using Keras from Tensorflow …
Aiming at improving the low accuracy of the conventional target detection model during the task of detecting micro-cracks on the surface of metal structural parts, this paper built a micro-cracks …