14 datasets found

Groups: Image Classification Formats: JSON

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  • ImageNet, ADE20K, and COCO datasets

    The dataset used for ImageNet recognition, ADE20K semantic segmentation, and COCO panoptic segmentation.

  • CIFAR-100 and ImageNet-1k

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-100 and ImageNet-1k datasets for image classification and semantic...

  • CAE v2: Context Autoencoder with CLIP Target

    Masked image modeling (MIM) learns visual representation by masking and reconstructing image patches. Applying the reconstruction supervision on the CLIP representation has been...

  • ImageNet, CIFAR-10, and Cityscapes

    The dataset used in this paper is ImageNet and CIFAR-10 for image classification, and Cityscapes for semantic segmentation.

  • Pascal VOC 2012

    The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and...

  • ImageNet-1K, ADE20K, and COCO 2017

    The dataset used in the paper is ImageNet-1K, ADE20K, and COCO 2017.

  • PASCAL VOC 2007

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

  • ImageNet, MS COCO, and Pascal VOC datasets

    The dataset used in the paper is ImageNet, MS COCO, and Pascal VOC datasets.

  • Pascal VOC

    Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...

  • COCO Dataset

    The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

  • MS-COCO

    Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

  • Microsoft COCO

    The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

  • ImageNet-1k

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for language modeling and image classification tasks.

  • COCO

    Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...