The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
+This project focuses on building a Convolutional Neural Network (CNN) using Keras (TensorFlow backend) to classify images into two categories: Dog and Cat. + +The objective is to learn meaningful ...
Objective Skin cancer is widely recognized as one of the most perilous diseases on a global scale. Early identification of skin lesions can significantly enhance the treatment effects by aiding in ...
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Image classification with CNNs in Keras | Easy guide
In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...
Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection of the ...
A deep learning project that uses Convolutional Neural Networks (CNN) to classify Indian traffic signs. This project includes a trained model and two different user interface options (Streamlit and ...
1 National School of Engineers of Gabes (ENIG), Research Laboratory of Numerical Control of Industrial Processes (CONPRI), University of Gabes, Gabes, Tunisia. 2 National School of Engineers of Sfax ...
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