Korea Expert is participating in a project to build learning data
for AI image recognition promoted
by NIA Korea Intelligence and Information Society Agency.
2023'
Building crack detection image [Advanced]
SOC facility crack pattern image data
2022' - 2023'
Using multi-channel complex collection equipment
Ship operation data labeling project underway
2021' - 2022'
Using navigation equipment (ECDIS/ECS)
Maritime environmental conditions and optimal safe port
Labeling business in progress
Training data construction process
Collection/acquisition
video data
Raw data
Imaging the object appearance section based on raw data
Source data
Label objects based
on raw data
Labeling data
AI model development
Select a model (algorithm) suitable for the task (subject) being performed and verify the constructed data.
(example)
Building crack detection image [Advanced]
Precisely determine the condition of concrete and identify concrete defect areas. Image classification and segmentation model to perform accurate classification.
AlexNet+LeNet(Li+2020)
One of the latest studies on concrete defect image classification
Developed an image classification model using AlexNet and LeNet
A model that obtained scale invariance by applying the concept of convolution to the vision transformer
Image classification model
CvT(Wu+2022)
SegFomer(Xie+2021)
Introducing an encoder with a hierarchical structure to overcome the shortcomings (uni-scale) of the NFL Transformer
Development of a model to precisely detect concrete cracks based on U-Net, one of the latest artificial neural networks
Image segmentation model
U-Net(Fan+2020)