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README.md

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----
-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.