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Animal Detection Neural Network
Neural network designed to detect animals in their natural surroundings using Python and PyTorch with various encoder configurations.
About This Project
A machine learning project focused on detecting animals in natural environments using semantic segmentation techniques.
Features
- Multiple Encoder Architectures: Explored various encoders to achieve optimal results
- Custom Dataset Tool: Developed Python tool for filtering and preparing training data
- Segmentation Models: Implemented using PyTorch and SegmentationModels library
Technical Details
- Built with Python and PyTorch
- Used SegmentationModels library for various architectures
- Custom data preprocessing pipeline
- Performance benchmarking across different configurations
Research Focus
The project involved extensive experimentation with different encoder configurations to find the optimal balance between accuracy and performance for animal detection in natural settings.