Dog Breed Identification
Project Information
View on GitHub- Category: Deep Learning
- Technologies: TensorFlow Transfer Learning Keras
- Project Date: March 2024
- Dataset: Kaggle Dog Vision
- Accuracy: 92% on validation set
Dog Breed Identification Project
A sophisticated deep learning model capable of identifying 120 different dog breeds from images with high accuracy.
Technical Details
- MobileNetV2 base model with custom classification layers
- Data augmentation techniques for improved generalization
- User-friendly interface for real-time predictions
- Deployed as a web application with Flask backend
Key Features
- Real-time breed prediction from images
- Top 3 predictions with confidence scores
- Breed information database integration
- Mobile-friendly responsive design
Video Demonstration
See the DIP-Dog_Identification_Project Identification system in action
This demonstration shows the complete workflow of the DIP-Dog_Identification_Project system.