A CNN Regression Model for Predicting Age from an Image
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Updated
Feb 15, 2024 - Jupyter Notebook
A CNN Regression Model for Predicting Age from an Image
This is my first project on Github
🖼️🔄 Combine CNNs with Fourier Transform techniques to enhance image quality by effectively reducing noise in various imaging applications.
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 …
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House price estimation from visual and textual features using both machine learning and deep learning models
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.
Finding key points on the face
Implementation of a convolutional neural network for regression and classification tasks
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
Facial key-points detection by using CNN model.
Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression
A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
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