6 datasets found

Groups: Image Segmentation

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  • Pascal VOC Challenge

    The Pascal VOC Challenge dataset is a benchmark for object detection and image segmentation.

  • Image dataset

    The dataset used in the paper is a set of images, and the authors used it to train and test their ladder network model.

  • Caltech-UCSD Birds-200-2011 Dataset

    The Caltech-UCSD Birds-200-2011 Dataset consists of 11,169 bird images from 200 categories and each category has 60 images averagely.

  • SceneNet RGB-D

    The dataset used in this paper for multi-sensor next-best-view planning as matroid-constrained submodular maximization.

  • PASCAL VOC 2007

    Multi-label image recognition is a practical and challenging task compared to single-label image classification.

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.