Dataset Versions

v10

2023-12-16 12-16pm 400vals

Generated on Dec 16, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 85%
2964Images
Valid Set 11%
400Images
Test Set 3%
120Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Noise: Up to 3% of pixels
Cutout: 4 boxes with 3% size each
Mosaic: Applied