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The StreetHazards datasetThe StreetHazards dataset

sweetdata 8 months ago 1.0.0 FREE
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dataset.csv 56KB files.zip 2GB

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MIT
# Content We leverage a simulated driving environment to create a dataset for anomaly segmentation, which we call StreetHazards. This test dataset contains 1500 images containing 250 anomaly types. The anomalies are presented in the annotation images. # Source [The Combined Anomalous Object Segmentation (CAOS) Benchmark ](https://github.com/hendrycks/anomaly-seg) # Citation `@article{hendrycks2019anomalyseg, title={A Benchmark for Anomaly Segmentation}, author={Hendrycks, Dan and Basart, Steven and Mazeika, Mantas and Mostajabi, Mohammadreza and Steinhardt, Jacob and Song, Dawn}, journal={arXiv preprint arXiv:1911.11132}, year={2019} }`

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Datasetstreethazards

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