Datasets:
The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for CUB_200_2011
Dataset Summary
The Caltech-UCSD Birds 200-2011 dataset (CUB-200-2011) is an extended version of the original CUB-200 dataset, featuring photos of 200 bird species primarily from North America. This 2011 version collects detailed natural language descriptions for each image through Amazon Mechanical Turk (AMT).
How to Use
from datasets import load_dataset
CUB_200 = load_dataset("KAKIZHOU/CUB-200")
Supported Tasks and Leaderboards
This dataset can support a variety of computer vision tasks, including but not limited to:
- Fine-Grained Image Classification
- Object Detection and Localization
- Semantic Segmentation
- Attribute-Based Recognition
- Multitask Learning
Languages
The dataset includes annotations in English
Data Fields
- images: Photographs of birds across 200 species.
- annotations: This includes:
- bounding boxes: Specify the bird's location within the image.
- segmentation labels: Provide pixel-wise segmentation for precise object segmentation.
- part locations: 15 specific parts of the bird are annotated for detailed analysis.
- binary attributes: 312 attributes indicating the presence or absence of certain features or behaviors.
- natural language descriptions: Ten single-sentence descriptions per image, collected via AMT.
Data Splits
- Training set: 8,855 images
- Test set: 2,933 images
- Downloads last month
- 54