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--- |
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pretty_name: Baby Yoda LEGO Presence (224×224) |
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tags: [image, classification, augmentation, education] |
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license: cc-by-4.0 |
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task_categories: [image-classification] |
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--- |
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# Baby Yoda LEGO Presence (224×224) |
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Binary image dataset indicating whether an image **contains a Baby Yoda LEGO** figure. |
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## Composition & Collection |
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- **Creators:** Student-captured photos by the dataset author for an academic assignment. |
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- **Subjects:** Desktop/object scenes that may contain a Baby Yoda LEGO figure. |
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- **Original count:** {orig_n} images (≥30 required). |
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- **Resolution / format:** Center-cropped square, resized to **224×224**, saved as JPEG. |
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- **Privacy:** No faces or personally identifiable information (PII) included. |
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## Labels |
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Binary target from folder names: |
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- `has_baby_yoda` (label = 0) |
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- `no_baby_yoda` (label = 1) |
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## Preprocessing |
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1. Decode `.heic/.jpg/.jpeg/.png` (HEIC via `pillow-heif`). |
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2. Center-crop to square using `min(width, height)`. |
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3. Resize to **224×224** with bilinear interpolation. |
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4. Save as JPEG (quality≈92). |
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## Augmentation (label-preserving) |
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Performed offline to create the `augmented` split (no generative models): |
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- `RandomResizedCrop(size=224, scale=(0.7, 1.0), ratio=(0.75, 1.33))` |
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- `RandomHorizontalFlip(p=0.5)` |
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- `RandomVerticalFlip(p=0.1)` |
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- `RandomRotation(±15°, bilinear)` |
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- `ColorJitter(brightness=0.2, contrast=0.2, saturation=0.15, hue=0.05)` |
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- `RandomErasing(p=0.2, scale=(0.02, 0.08), ratio=(0.3, 3.3))` |
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These transformations do not change whether Baby Yoda is present. |
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## Splits |
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- `original`: {orig_n} resized images (224×224) |
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- `augmented`: {aug_n} synthetic, label-preserving variants (≥300 total) |
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## Intended Use / Limits |
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- **Use:** Classroom demos, practice with CV pipelines, small experiments. |
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- **Not for:** Benchmarks or production systems (limited scope/diversity). |
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- **Caveats:** Background/lighting vary; class balance may be modest. |
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## Ethical Notes |
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- No people or PII. |
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- Images are student-created and used for coursework. |
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## Licensing |
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- **CC-BY-4.0** for the dataset and documentation. |
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## AI Usage Disclosure |
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Code was refactored from in class image dataset example, GenAI was used to assist with refactoring and comments |
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