Panoramic Video Panoptic Segmentation Dataset is a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving.
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The Segmentation of Underwater IMagery (SUIM) dataset contains over 1500 images with pixel annotations for eight object categories: fish (vertebrates), reefs (invertebrates), aquatic plants, wrecks/ruins
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…It is a concealed defect segmentation dataset from the five well-known defect segmentation databases. It contains five sub-databases: MVTecAD, NEU, CrackForest, KolektorSDD, and MagneticTile.
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The Cityscapes Panoptic Parts dataset introduces part-aware panoptic segmentation annotations for the Cityscapes dataset.
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The Pascal Panoptic Parts dataset consists of annotations for the part-aware panoptic segmentation task on the PASCAL VOC 2010 dataset.
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The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels.
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…Furthermore, for each image the dataset creators provide pixel-wise semantic segmentation annotations for ten categories: Background, Sky, Road, Sidewalk, Grass, Vegetation, Building, Poles & Fences, Dynamic This dataset can be very challenging for vision based applications such as global localization, camera relocalization, semantic segmentation, visual odometry and loop closure detection, as it contains
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…The dataset can be used for multi-label based image classification, multi-label based image retrieval, and image segmentation.
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…Overall this dataset covers a wide range of perception related tasks such as loop closure detection, semantic segmentation, visual odometry estimation, global localization, scene flow estimation and behavior