Portfolio

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Projects

LLamas vs. Alpaca Classification

In this project a CNN was implemented and tested on photos of llamas and alpacas reaching 69.23% accuracy on the test data (superior than humans*).

• Built a CNN architecture to classify images of alpacas and llamas using Keras/TensorFlow
• Collected and labeled a dataset of photos of llamas and alpacas
• Achieved 69.23% accuracy on test dataset

Tags: image classification, CNN, computer vision, deep learning

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