This simple image classification tool is built using Python and the Tkinter library. It allows you to classify images using a pre-trained deep-learning model and also load custom models for classification.
- Load and display images.
- Classify images using a pre-trained InceptionV3 model.
- Load custom classification models.
- View classification results.
- Python 3.x
- Required Python libraries: tkinter, PIL (Pillow), TensorFlow, NumPy
-
Clone this repository to your local machine or download the source code.
-
Install the required libraries if you haven't already:
pip install tensorflow pillow
Run the application by executing ["Tool.py"].
Use the "Select an Image" button to choose an image for classification.
By default, the tool will classify the image using the InceptionV3 model and display the results.
You can also load custom models using the "Load Custom Model" button.
Use the "Clear Results" button to clear the classification results.
License This project is licensed under the MIT License. See the LICENSE file for details.
Acknowledgments
This tool utilizes the InceptionV3 model from TensorFlow for image classification
Author
.< 💯💯💯