Welcome to the Android App that classifies images of dogs and cats using a PyTorch. The app is designed to help users easily classify images of dogs and cats with the touch of a button.
- Easy and intuitive image classification of
dogsandcats - Accurate image recognition using a
PyTorchmodel - Minimal and user-friendly interface
- pretrained weight
mobilenetv2
- Open the app
- Choose an image from your device's gallery or take a new photo
- Press the "Pridict" button The app will display the classification result (either "dog" or "cat")
- Optimize the Model: Try to optimize the model by reducing its size, number of parameters and layer complexity. This will help in reducing the computational time during predictions.
- Quantization: Use quantization techniques to reduce the model size and make predictions faster. PyTorch Lite supports quantization-aware training, which helps to optimize the model for deployment on low-power devices.
- Model Input Shape: Ensure that the input shape of the model is optimized for the Android device to reduce the computational time during predictions.
The app uses a pre-trained PyTorch for image classification. The model has been trained on a large dataset of dog and cat images, resulting in high accuracy and speed.
I hope you find this app useful and enjoyable. With its fast and accurate image recognition, you can now easily classify images of dogs and cats with just a few taps. Enjoy!