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Dataset Card for Caltech-UCSD Birds-200-2011 (CUB-200-2011)
Dataset Details
Dataset Description
The CUB-200-2011 dataset is designed for fine-grained bird species classification. It contains 11,788 images of 200 bird species, each labeled with its corresponding category. The dataset is widely used in fine-grained image classification and computer vision research.
Dataset Sources
- Homepage: https://www.vision.caltech.edu/datasets/cub_200_2011/
- Paper: Wah, C., Branson, S., Welinder, P., Perona, P., & Belongie, S. (2011). The caltech-ucsd birds-200-2011 dataset.
Dataset Structure
Each sample in the dataset contains:
image: A variable-sized RGB image
label: An integer between 0 and 199, representing the bird species
Total images: 11,788
Classes: 200 (each corresponding to a bird species)
Splits:
Train: 5,994 images
Test: 5,794 images
Image specs: Variable sizes, RGB
Example Usage
Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("../../aidatasets/images/cub200.py", split="train", trust_remote_code=True)
# dataset = load_dataset("../../aidatasets/images/cub200.py", split="test", trust_remote_code=True)
# Access a sample from the dataset
example = dataset[0]
image = example["image"]
label = example["label"]
image.show() # Display the image
print(f"Label: {label}")
Citation
BibTeX:
@article{wah2011caltech, title={The caltech-ucsd birds-200-2011 dataset}, author={Wah, Catherine and Branson, Steve and Welinder, Peter and Perona, Pietro and Belongie, Serge}, year={2011}, publisher={California Institute of Technology} }