This project is a Dog Breed Identifier that uses the MobileNetV2 architecture implemented in TensorFlow. The primary goal is to classify dog breeds from images accurately. The model leverages transfer learning to improve efficiency and performance.
- https://www.kaggle.com/c/dog-breed-identification/data
- https://www.kaggle.com/c/dog-breed-identification/overview/evaluation
This project utilizes the MobileNetV2 architecture for image classification. MobileNetV2 is efficient and lightweight, making it suitable for mobile and web applications.
Unfortunately, I am unable to provide the complete code for this project due to some unexpected issues during development, which resulted in the loss of the original implementation. However, I hope the descriptions of the methodology will be helpful for anyone looking to replicate or build upon this work, Thank you!