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README.md
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## Overview
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The Earthwork Network Architecture (ENA) is the deep learning model designed to compare the accurate estimation prediction of earthwork quantities in construction. This repository includes four distinct deep learning models—MLP, LSTM, Transformers, and LLM-based architectures (BERT)—tailored for automating and enhancing earthwork quantity estimation from CAD-based cross-sectional drawings.
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<img src="https://huggingface.co/mac999/earthwork-net-model/
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<img src="https://huggingface.co/mac999/earthwork-net-model/
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### Key Features:
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1. **Multi-Model Approach**:
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## Overview
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The Earthwork Network Architecture (ENA) is the deep learning model designed to compare the accurate estimation prediction of earthwork quantities in construction. This repository includes four distinct deep learning models—MLP, LSTM, Transformers, and LLM-based architectures (BERT)—tailored for automating and enhancing earthwork quantity estimation from CAD-based cross-sectional drawings.
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<img src="https://huggingface.co/mac999/earthwork-net-model/resolve/main/doc/img3.webp" width="600"></br>
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<img src="https://huggingface.co/mac999/earthwork-net-model/resolve/main/doc/img5.png" width="600">
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### Key Features:
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1. **Multi-Model Approach**:
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