--- # For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # 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} }