The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found flowers102.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1167, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found flowers102.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for Flowers102
Dataset Details
Dataset Description
This is a 102 category dataset, consisting of 102 flower categories. The flowers chosen to be flower commonly occuring in the United Kingdom. Each class consists of between 40 and 258 images.
Dataset Sources
- Homepage: https://www.robots.ox.ac.uk/~vgg/data/flowers/102/
- Paper: Nilsback, M. E., & Zisserman, A. (2008, December). Automated flower classification over a large number of classes. In 2008 Sixth Indian conference on computer vision, graphics & image processing (pp. 722-729). IEEE.
Dataset Structure
Total images: 8,189
Classes: 102
Splits:
Train: 1,020 images
Validation: 1,020 images
Test: 6,149 images
Image specs: JPG format, 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("randall-lab/flowers102", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/flowers102", split="validation", trust_remote_code=True)
# dataset = load_dataset("randall-lab/flowers102", 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:
@inproceedings{nilsback2008automated, title={Automated flower classification over a large number of classes}, author={Nilsback, Maria-Elena and Zisserman, Andrew}, booktitle={2008 Sixth Indian conference on computer vision, graphics & image processing}, pages={722--729}, year={2008}, organization={IEEE} }
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