Скачать или смотреть 10 Monkey Species Classification Using Tkinter

This project is about using a Convolutional Neural Network (CNN) to classify ten different monkey species.

Key Steps:
Explored a diverse dataset containing images of 10 monkey species.
Split the data into training and validation sets, applied data augmentation, and visualized color distributions.
Built a CNN model with multiple layers, achieved great accuracy, and visualized the training history.
Evaluated the model on a test set, generated a confusion matrix, and presented a detailed classification report.
Saved the trained model and showcased predictions on new monkey images.
Designed a simple GUI using Tkinter to display the image and the predicted class after being browsed.

📓 Kaggle Notebook: https://www.kaggle.com/code/abdelrahmanahm...
📂 GitHub Repo: https://github.com/Abdelrahman47-code/Monk...
💼 LinkedIn Post: https://www.linkedin.com/posts/abdelrahman...

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🔗 Connect with me:

🌐 Website: https://sites.google.com/view/abdelrahman-...
💼 LinkedIn: https://www.linkedin.com/in/abdelrahmaneldaba
🐙 GitHub: https://github.com/Abdelrahman47-code
📊 Kaggle: https://www.kaggle.com/abdelrahmanahmed110
📘 Facebook: https://www.facebook.com/profile.php?id=10...

#MonkeyClassification #MonkeySpecies #DataScience #Classification #MachineLearning #Kaggle #GitHub