8 datasets found

Groups: Image Classification Formats: JSON

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  • Caltech-UCSD Birds

    Caltech-UCSD Birds (CUB 200-2007) and extended version CUB 200-2011 image collections tagged with keypoints, bounding boxes, coarse segmentation, and attribute labels.

  • CUB dataset

    The CUB dataset is a large collection of images of birds, each image is a 299x299 RGB image, and there are 11,778 training images and 5,994 testing images.

  • Waterbirds

    Dataset bias is a significant problem in training fair classifiers. When attributes unrelated to classification exhibit strong biases towards certain classes, classifiers...

  • 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.

  • The Caltech-UCSD Birds-200-2011 Dataset

    The CUB dataset is a collection of images of landbirds and waterbirds from the CUB dataset, combined with images from Places dataset as background.

  • CUB 200-2011

    The CUB 200-2011 dataset contains 200 classes of bird species in 11,788 images with approximately 30 examples per class in the training set.

  • Caltech-UCSD Birds 200

    The Caltech-256 object category dataset is used for the feature extraction step, and the Omniglot dataset is used for the evaluation.

  • CUB-200

    CUB-200 is a fine-grained image classification dataset containing high resolution images of 200 different bird species.