README.md

metadata

title: Insect Detection
emoji: 🐝
colorFrom: yellow
colorTo: green
sdk: docker
app_file: Insect_HFspace_Streamlit_App.py
pinned: false
license: mit
tags:
  - computer-vision
  - image-classification
  - insect-classification
  - deep-learning
  - tensorflow
  - mobilenet
  - efficientnet
  - resnet
  - inception

🦋 Multi-Model Insect Classification System - A Web/Mobile App

Developed by Dr. Thyagharajan K K

Description

AI-powered insect classification application featuring multiple state-of-the-art deep learning models. Upload images to identify insect species with confidence scores and top-3 predictions.

Features

• 🎯 Multiple pre-trained models (Inception V3, EfficientNet, ResNet50)
• 📸 Upload custom images or use sample test images
• 📊 Confidence scores with top-3 predictions
• 🚀 Fast inference with model caching
• 📱 Responsive design for web and mobile

Models Available

• Inception V3 - High accuracy, balanced performance
• EfficientNet B0 - Efficient and lightweight
• ResNet50 - Deep residual learning
• (More models coming soon...)

How to Use

1. Select a model from the dropdown
2. Upload an insect image or choose from sample images
3. Click "Predict" to get classification results
4. View predicted class with confidence score

Technical Details

• Framework: TensorFlow/Keras
• Input Size: 300×300 pixels
• Interface: Streamlit
• Hosted on: Hugging Face Spaces

License

This project is licensed under the MIT License - see the LICENSE file for details.

Citation

If you use this application in your research or educational projects, please provide appropriate attribution.

Contact

For questions or collaboration opportunities, please open a discussion in this Space.