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https://github.com/fx818/dog-breed-classification-using-tensorflow
It's a multiclass classification model to differentiate between 5 dogs breeds
https://github.com/fx818/dog-breed-classification-using-tensorflow
deep-learning jupyter machine-learning neural-networks python tensorflow2
Last synced: about 2 months ago
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It's a multiclass classification model to differentiate between 5 dogs breeds
- Host: GitHub
- URL: https://github.com/fx818/dog-breed-classification-using-tensorflow
- Owner: fx818
- Created: 2024-11-19T03:57:51.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-19T04:02:51.000Z (about 2 months ago)
- Last Synced: 2024-11-19T04:31:41.083Z (about 2 months ago)
- Topics: deep-learning, jupyter, machine-learning, neural-networks, python, tensorflow2
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Dog-breed-classification-using-Tensorflow
> It's a multiclass classification based model which classifies between 5 breeds of dogs
> Dataset is used from kaggle> It has several custom model, derived model using ResNet50 and EfficientNetB0, and models using data augmentation
> Atlast, it has the biggest custom model with highest accuracy among them
## Our best custom model
![image](https://github.com/user-attachments/assets/f99cb03f-ba38-4a6b-9d0c-a6e23cb17116)
![image](https://github.com/user-attachments/assets/ae92c408-dcbb-4261-809c-90bb200a54b4)![image](https://github.com/user-attachments/assets/9dca4849-bb1d-4953-bcc5-3c49abbbed6c)
## Other Model's loss and accuracy curves
![image](https://github.com/user-attachments/assets/bfc230c7-732d-4ab8-b049-fa4443133a40)
![image](https://github.com/user-attachments/assets/301d10f1-5aa4-4862-9a27-8a46e70c64f7)![image](https://github.com/user-attachments/assets/d9d4cd6c-2146-4da7-9440-89303a1e7d94)
![image](https://github.com/user-attachments/assets/e9f4ccf5-7107-4f95-9a87-a8f1670d0256)![image](https://github.com/user-attachments/assets/472db571-52a1-4744-86c0-19b469d42f6b)
![image](https://github.com/user-attachments/assets/478286ee-6cfb-4297-9c10-084182d5f337)![image](https://github.com/user-attachments/assets/3011c7eb-2f52-432f-b249-983a0834d108)
![image](https://github.com/user-attachments/assets/b3e56686-fd24-459e-ab79-70bf058733e0)![image](https://github.com/user-attachments/assets/c4df7f60-337a-4fa2-aa21-6a4b94ce39f8)
![image](https://github.com/user-attachments/assets/107f03ab-fc2b-4efb-ab96-e7afcccdf258)