Tree Bark Image Classifier

For this project, I fine-tuned a pre-trained TensorFlow EfficientNet model on a dataset of 18,000 tree bark images, achieving an impressive 89% accuracy in classifying tree species. This project demonstrates my expertise in transfer learning and computer vision, particularly in leveraging advanced neural networks for image classification tasks. To enhance user accessibility, I deployed the model to a web application where users can upload tree bark images, and the model provides real-time classification predictions. This solution highlights my ability to build and deploy deep learning models for practical applications in environmental and ecological studies.