Machine Learning Model for Image Classification
Permalink: 2024-12-07 17:00:00+03:00
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tags: image classification deep learning computer vision
Overview
We developed a deep learning model using Convolutional Neural Networks (CNNs) to classify images from the CIFAR-10 dataset. The project utilized TensorFlow and Keras for building and training the model.
Achievements
- Achieved an accuracy rate of 85% on the test set.
- Implemented data augmentation techniques to improve model robustness.