Note
This is a Hugging Face dataset. Learn how to load datasets from the Hub in the Hugging Face integration docs.
Dataset Card for Generated Dogs#
10+ images for each class in the Stanford Dogs dataset, but all generated with SDXL. Images were filtered for CLIP score, and cartoonish images were removed.
This is a FiftyOne dataset with 1305 samples.
Installation#
If you haven’t already, install FiftyOne:
pip install -U fiftyone
Usage#
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/SDXL-Generated-Stanford-Dogs")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details#
Dataset Description#
Curated by: [More Information Needed]
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Language(s) (NLP): en
License: [More Information Needed]
Dataset Sources [optional]#
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Uses#
Direct Use#
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Out-of-Scope Use#
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Dataset Structure#
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Dataset Creation#
Curation Rationale#
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Source Data#
Data Collection and Processing#
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Who are the source data producers?#
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Annotations [optional]#
Annotation process#
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Who are the annotators?#
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Personal and Sensitive Information#
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Bias, Risks, and Limitations#
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Recommendations#
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
Citation [optional]#
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