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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': no_duo |
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'1': duo |
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splits: |
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- name: original |
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num_bytes: 4440451 |
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num_examples: 40 |
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- name: augmented |
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num_bytes: 25195032 |
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num_examples: 300 |
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download_size: 28523872 |
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dataset_size: 29635483 |
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configs: |
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- config_name: default |
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data_files: |
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- split: original |
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path: data/original-* |
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- split: augmented |
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path: data/augmented-* |
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pretty_name: duo or no duo |
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--- |
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# Dataset Card for Duo or no Duo |
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### Dataset Details |
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Photos in this dataset were taken by Scotty McGee on an iPhone 15 and converted from HEIC to RGB and resized to 224 × 224 pixels for consistency |
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### Dataset Description |
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This dataset consists of images paired with a binary label indicating whether “Duo” is present (duo) or absent (no_duo), making it a straightforward two-class image classification task. All images converted from HEIC to RGB and resized to 224 × 224 pixels for consistency. To expand the dataset, over 300 synthetic images were created by applying label-preserving transformations such as random cropping and resizing, horizontal flips, small rotations, color jitter, perspective distortion, and slight blurring to the original images. |
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### Dataset Use |
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This dataset is intended to test if you can identify if an image has Duo or not. |
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- **Curated by:** Scotty McGee |
