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# Depth Estimation Using ResNet50 and XGBoost
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## Author
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- **Vishal Adithya.A**
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## Overview
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This project demonstrates a depth estimation XgBoost Regressor model that predicts the average depth of images provided using features extracted from a pre-trained ResNet50 model.The model was trained upon the **NYUv2 dataset** ([0jl/NYUv2](https://huggingface.co/datasets/0jl/NYUv2)). The trained model is saved as using Python's `pickle` library for easy deployment and reuse.
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# Depth Estimation Using ResNet50 and XGBoost
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## Author
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- **Vishal Adithya.A**
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## Overview
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This project demonstrates a depth estimation XgBoost Regressor model that predicts the average depth of images provided using features extracted from a pre-trained ResNet50 model.The model was trained upon the **NYUv2 dataset** ([0jl/NYUv2](https://huggingface.co/datasets/0jl/NYUv2)). The trained model is saved as using Python's `pickle` library for easy deployment and reuse.
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