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Sewer-ML Dataset | Papersgraph

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Sewer-ML

Introduced in Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark2021

About this Dataset

Sewer-ML is a sewer defect dataset. It contains 1.3 million images, from 75,618 videos collected from three Danish water utility companies over nine years. All videos have been annotated by licensed sewer inspectors following the Danish sewer inspection standard, Fotomanualen. This leads to consistent and reliable annotations, and a total of 17 annotated defect classes.

Source: Sewer-ML Image Source: Sewer-ML

Source: Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark

Dataset Variants

Sewer-ML

Papers1

Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark

This work presents a large novel and publicly available multi-label classification dataset for image-based sewer defect classification called Sewer-ML, containing 1.3 million images annotated by professional sewer inspectors from three different utility companies across nine years, and presents a benchmark algorithm and a novel metric for assessing performance.

Dataset Loaders

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https://bitbucket.org/aauvap/sewer-ml

pytorch

Tasks

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Image Classification Multi-Label Classification Multi-Label Image Classification

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