10 datasets found

Groups: Birds Tags: Birds

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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.

  • Caltech-UCSD Birds (CUB) dataset

    The Caltech-UCSD Birds (CUB) dataset is a fine-grained visual classification dataset containing 200 classes of birds.

  • 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.

  • CUB (Caltech UCSD Birds 200)

    The CUB dataset comprises 200 bird species totaling 11,788 image samples, of which 50 categories are planned as unseen classes. The SUN dataset has a sample of 717 different...

  • 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.

  • Caltech-UCSD-Birds-200-2011

    The Caltech-UCSD-Birds-200-2011 dataset contains images of 200 bird species.

  • NABirds

    Fine-grained visual classification (FGVC) is a challenging computer vision problem, where the task is to au- tomatically recognise objects from subordinate categories.

  • Caltech-UCSD Birds (CUB)

    Caltech-UCSD Birds (CUB) dataset is a dataset of bird images.

  • Birds-to-Words

    The Birds-to-Words dataset contains 15,931 images (12,770 training and 3,151 testing) tagged with descriptions of fine-grained differences between pairwise bird images.
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