8 datasets found

Groups: Image Classification Organizations: No Organization Formats: JSON

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  • SUN Attribute

    The dataset used in the paper is SUN Attribute, which consists of 717 classes of images with annotations.

  • Places205

    Places205 is a dataset of 2.5 million images from 205 categories, with 12,000 images per category.

  • Places dataset

    The Places dataset is a large-scale dataset for scene recognition, containing 1 million images from 365 categories.

  • SUN397

    The dataset used in the paper is a collection of images of objects with varying viewpoints, used for training and testing the proposed RRB framework.

  • ImageNet: A Large-Scale Hierarchical Image Database

    The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories.

  • Places

    The dataset used in the paper is Places, a large dataset of 400k pairs of images from the Places 205 dataset and corresponding spoken audio captions.

  • YFCC100M

    The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.

  • LSUN

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