We painted the whole town
summary
Describes building a large-scale project for city-wide mapping using deep learning and computer vision tools (likely including convolutional neural networks) to process imagery and produce detailed maps. Covers the engineering workflow and practical challenges of collecting data, training models, and deploying pipelines to generate comprehensive urban maps.
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