README.md

metadata

title: 🌸 Flower Classifier
emoji: 🚀
colorFrom: purple
colorTo: purple
sdk: streamlit
app_file: src/app.py
sdk_version: 1.54.0
pinned: false
license: mit

🌸 Flower Classification with EfficientNet

Deep learning image classification project trained on the 104 Flower Species dataset from Kaggle.

🚀 Overview

• 🖼 104 Flower Classes
• 🧠 EfficientNetB0 (Transfer Learning)
• ⚙️ TensorFlow / Keras
• 📦 TFRecord Dataset
• 💾 Saved in modern .keras format

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📊 Model Training

The model was trained on Kaggle using GPU/TPU acceleration.

Steps:

1. Load TFRecord dataset
2. Preprocess images (224x224)
3. Train EfficientNetB0
4. Generate submission file

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🌐 Streamlit Demo

Run locally:

pip install -r requirements.txt
streamlit run app.py