🖼️🔄 Combine CNNs with Fourier Transform techniques to enhance image quality by effectively reducing noise in various imaging applications.
-
Updated
Aug 8, 2024 - Jupyter Notebook
🖼️🔄 Combine CNNs with Fourier Transform techniques to enhance image quality by effectively reducing noise in various imaging applications.
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
A CNN Regression Model for Predicting Age from an Image
House price estimation from visual and textual features using both machine learning and deep learning models
ENHANCING INTRA-HOUR SOLAR IRRADIANCE ESTIMATION THROUGH KNOWLEDGE DISTILLATION AND INFRARED SKY IMAGES
INTRA-HOUR SOLAR IRRADIANCE ESTIMATION USING INFRARED SKY IMAGES AND MOBILENETV2-BASED CNN REGRESSION
This project aims to enhance the quality of low-resolution images by mainly focusing on sharpening the edges of colors in the image; making them sharp and distinctly better quality with some improvement in the overall quality of the image. This will be achieved through Deep Learning.
Implementation of a convolutional neural network for regression and classification tasks
Fish scales constitute a valuable source of information about individual life histories, but correctly extracting this information requires a highly skilled expert. Here, we train a deep convolutional neural network architecture EfficientNet B4 on a set of about 9000 salmon scale images, and show that it attains good performance on predicting a …
This is my first project on Github
A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
Facial key-points detection by using CNN model.
Finding key points on the face
Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression
Add a description, image, and links to the cnn-regression topic page so that developers can more easily learn about it.
To associate your repository with the cnn-regression topic, visit your repo's landing page and select "manage topics."