GitHub topics: image-data-generator
SayamAlt/Beauty-Classification
Successfully established a deep learning model which can accurately predict whether a woman's face is beautiful or average.
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SayamAlt/Children-Adult-Classification
Successfully established a deep learning model which can precisely classify a human being as a child or an adult.
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ChaitanyaC22/Multi-Input-Multi-Output-MNIST-Image-Digit-and-Summed-Output-Classification
The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.
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SoheilKhatibi/Webots-Image-Dataset-Collector
Webots Image Dataset Collection For Computer Vision And Deep Learning
Language: C++ - Size: 39.1 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

nuhmanpk/Webtrench
A powerful and easy-to-use web scrapper for collecting data from the web. Supports scraping of images, text, videos, meta data, and more. Ideal for machine learning and deep learning engineers. Download and extract data with just one line of code
Language: Python - Size: 51.8 KB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 6

zabir-nabil/pikwizard-image-downloader
An image downloader for https://pikwizard.com using Selenium. Copyright-free image downloader.
Language: Python - Size: 16.9 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 0

Aalaa4444/Garbage_Classification
CNN model to classify garbage
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nisrinaishmh/Artificial-Neural-Network-Program-to-Recognize-Hand-Shapes-that-Form-Scissors-Rock-or-Paper
Train a computer to play Rock-Paper-Scissors by teaching it to recognize hand gestures using images! (Great for machine learning beginners) 😎
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GvHemanth/Gesture-Control---Conv3D-RNN-LSTM
Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN
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GvHemanth/Chest-X-Ray-Effusion-Detection-using-CNN-ResNet
In this X-ray classification assignment, we built a deep learning model to classify chest X-ray images into "nofinding" and "effusion" classes. We tackled challenges like data augmentation, imbalanced classes, and used weighted cross-entropy to improve model performance. The goal was to identify abnormalities with high accuracy.
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the-pinbo/image-denoising
The standard approach to image reconstruction using deep learning is to use clean image priors for training purposes. In this project, we attempt to achieve denoising without using a clean image prior and yet, achieving a performance comparable to, or sometimes, even better than that obtained using the conventional approach.
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mansipatel2508/Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison
The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction
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Stephy-Cheung/CNN_exercise-Malaria_Dataset-500image
A practice on improving CNN model accuracy by Image Data Generator or transfer learning when train model with a small dataset for binary classification.
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Arshpreet-Singh-1/ai-machine-learning-for-coders
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shsarv/Image-Augmentation
Image Data Augmentation with Keras and Image data generator with keras model.
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SaifAlmaliki/Image-Augmentation
(ImageDataGenerator) is Keras deep learning library provides the ability to use data augmentation automatically when training a model.
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