kevinkyi/Homework1_image_dataset

Baby Yoda LEGO Presence (224×224)

Binary image dataset indicating whether an image contains a Baby Yoda LEGO figure.

Composition & Collection

• Creators: Student-captured photos by the dataset author for an academic assignment.
• Subjects: Desktop/object scenes that may contain a Baby Yoda LEGO figure.
• Original count: {orig_n} images (≥30 required).
• Resolution / format: Center-cropped square, resized to 224×224, saved as JPEG.
• Privacy: No faces or personally identifiable information (PII) included.

Labels

Binary target from folder names:

• has_baby_yoda (label = 0)
• no_baby_yoda (label = 1)

Preprocessing

1. Decode .heic/.jpg/.jpeg/.png (HEIC via pillow-heif).
2. Center-crop to square using min(width, height).
3. Resize to 224×224 with bilinear interpolation.
4. Save as JPEG (quality≈92).

Augmentation (label-preserving)

Performed offline to create the augmented split (no generative models):

• RandomResizedCrop(size=224, scale=(0.7, 1.0), ratio=(0.75, 1.33))
• RandomHorizontalFlip(p=0.5)
• RandomVerticalFlip(p=0.1)
• RandomRotation(±15°, bilinear)
• ColorJitter(brightness=0.2, contrast=0.2, saturation=0.15, hue=0.05)
• RandomErasing(p=0.2, scale=(0.02, 0.08), ratio=(0.3, 3.3))

These transformations do not change whether Baby Yoda is present.

Splits

• original: {orig_n} resized images (224×224)
• augmented: {aug_n} synthetic, label-preserving variants (≥300 total)

Intended Use / Limits

• Use: Classroom demos, practice with CV pipelines, small experiments.
• Not for: Benchmarks or production systems (limited scope/diversity).
• Caveats: Background/lighting vary; class balance may be modest.

Ethical Notes

• No people or PII.
• Images are student-created and used for coursework.

Licensing

• CC-BY-4.0 for the dataset and documentation.

AI Usage Disclosure

Code was refactored from in class image dataset example, GenAI was used to assist with refactoring and comments