image
imagewidth (px) 224
224
| label
class label 2
classes |
|---|---|
1duo
|
|
1duo
|
|
1duo
|
|
0no_duo
|
|
0no_duo
|
|
1duo
|
|
0no_duo
|
|
1duo
|
|
1duo
|
|
0no_duo
|
|
1duo
|
|
0no_duo
|
|
1duo
|
|
1duo
|
|
1duo
|
|
0no_duo
|
|
0no_duo
|
|
0no_duo
|
|
1duo
|
|
1duo
|
|
1duo
|
|
0no_duo
|
|
0no_duo
|
|
0no_duo
|
|
1duo
|
|
1duo
|
|
0no_duo
|
|
0no_duo
|
|
1duo
|
|
1duo
|
|
0no_duo
|
|
0no_duo
|
|
1duo
|
|
1duo
|
|
1duo
|
|
1duo
|
|
1duo
|
|
1duo
|
|
1duo
|
|
1duo
|
Dataset Card for Duo or no Duo
Dataset Details
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
Dataset Description
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.
Dataset Use
This dataset is intended to test if you can identify if an image has Duo or not.
- Curated by: Scotty McGee
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