🐕 Dog breed classifier using MobileNetV2
Project description
🧠 Model
The model architecture (MobileNetV2-based with fine-tuning) and training pipeline are fully implemented by me.
📂 Dataset
This project uses the Stanford Dogs Dataset for training and evaluation.
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao and Li Fei-Fei.
"Novel dataset for Fine-Grained Image Categorization."
FGVC, CVPR 2011.
🐕 Supported Breeds
This model can recognize 19 popular dog breeds:
| # | Breed (English) |
|---|---|
| 1 | Chihuahua |
| 2 | Maltese Dog |
| 3 | Shih-Tzu |
| 4 | Papillon |
| 5 | Yorkshire Terrier |
| 6 | West Highland White Terrier |
| 7 | Golden Retriever |
| 8 | Labrador Retriever |
| 9 | Rottweiler |
| 10 | German Shepherd |
| 11 | Doberman |
| 12 | Bull Mastiff |
| 13 | French Bulldog |
| 14 | Siberian Husky |
| 15 | Pug |
| 16 | Samoyed |
| 17 | Pomeranian |
| 18 | Toy Poodle |
| 19 | Miniature Poodle |
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