---
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.