ataturhan21/Cifar10-Image-Classification
Convolutional Neural Network for CIFAR-10 image classification with data augmentation and optimized Keras model.
This project helps developers and machine learning enthusiasts classify small color images, specifically from the CIFAR-10 dataset. It takes raw image files, processes them, and outputs predictions on what object is in each image (e.g., 'airplane', 'dog', 'car'). The target user is someone learning about or building image classification models.
No commits in the last 6 months.
Use this if you are a developer looking for a comprehensive example and starting point for building, training, and evaluating a Convolutional Neural Network for image classification.
Not ideal if you are an end-user needing a ready-to-use application for classifying your own images without writing code.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 23, 2024
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