Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Update README.md
Browse files
README.md
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# Note: other available arguments include ''max_samples'', etc
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dataset = fouh.load_from_hub("
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# Launch the App
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<!-- Provide a quick summary of the dataset. -->
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![image/png](dataset_preview.jpg)
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = fouh.load_from_hub("
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# Launch the App
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session = fo.launch_app(dataset)
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# Note: other available arguments include ''max_samples'', etc
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dataset = fouh.load_from_hub("Voxel51/SDXL-Generated-Stanford-Dogs")
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# Launch the App
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<!-- Provide a quick summary of the dataset. -->
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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.
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![image/png](dataset_preview.jpg)
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# Load the dataset
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# Note: other available arguments include 'max_samples', etc
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dataset = fouh.load_from_hub("Voxel51/SDXL-Generated-Stanford-Dogs")
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# Launch the App
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session = fo.launch_app(dataset)
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