Surface Crack Detection with CNN on Kaggle
1. Dataset Acquisition
Concrete surface cracks are a primary defect in civil structures. Building inspection is performed to evaluate stiffness and tensile strangth. Crack detection plays a vital role in building health assessment.
The dataset contains images of various concrete surfaces with and without cracks. The image data is divided into t ...
Posted on Thu, 11 Jun 2026 17:53:30 +0000 by Jedi Legend
Understanding Convolution in Deep Learning: From Mathematics to Implementation
Convolution is a foundational operation in deep learning—especially in computer vision—where it enables hierarchical feature extraction through localized, parameter-shared transformations. Unlike general matrix multiplication, convolution exploits spatial locality and translation invariance, making it both computationally efficient and semantic ...
Posted on Mon, 08 Jun 2026 16:24:13 +0000 by puja
MobileFormer: Efficient Hybrid Architecture for Local-Global Feature Fusion
MobileFormer introduces a novel architecture that synergistically combines the strengths of convolutional neural networks (CNNs) and Transformers to achieve high efficiency with minimal computational overhead. By leveraging a lightweight bidirectional bridge between a mobile backbone and a compact Transformer, it enables effective exchange of l ...
Posted on Wed, 20 May 2026 20:19:31 +0000 by n00854180t