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🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

License: MIT License

Dockerfile 0.02% Jupyter Notebook 99.19% Python 0.80%
ai ai-project computer-vision deep-learning end-to-end image-segmentation landcover machine-learning ml-project neural-network

land-cover-semantic-segmentation-pytorch's Introduction

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I am a seasoned web developer with 5 years of experience in diverse industries such as e-commerce, education, finance, and insurance.

I hold a Master's degree from the University of San Francisco, where I currently contribute to the development of innovative AI solutions at the Innovation Hive.

With a robust background in software engineering, data science, and mathematics, I am passionately committed to advancing these fields and navigating the dynamic landscape of software research.

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