70DA/cats-vs-dogs-image-classifier

🐶🐱 Cats vs Dogs Classifier (Deep Learning)

A deep learning web app that classifies images as either a Cat 🐱 or Dog 🐶 using TensorFlow and Streamlit.

Built with transfer learning using MobileNetV2 for fast and accurate predictions.

🚀 Demo

[image]

🧠 Model Details

• —Base Model: MobileNetV2 (ImageNet pretrained)
• —Technique: Transfer Learning
• —Input Size: 224x224
• —Output: Binary Classification (Cat / Dog)

⚙️ Tech Stack

• —Python 🐍
• —TensorFlow / Keras 🤖
• —Streamlit 🎈
• —NumPy
• —Pillow

✨ Features

• —📤 Image upload
• —🧠 Real-time prediction
• —📊 Confidence score
• —🌙 Dark UI
• —🧊 Glassmorphism design
• —⚡ Fast inference

▶️ How to Run

git clone https://github.com/7odam7amed/cats-vs-dogs-image-classifier
cd cats-vs-dogs
pip install -r requirements.txt
streamlit run streamlit.py