Dataset Versions

v1

2023-02-05 3:56pm

Generated on Feb 5, 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 88%
651Images
Valid Set 8%
62Images
Test Set 4%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 940x1260

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -17° and +17°
Shear: ±34° Horizontal, ±13° Vertical
Grayscale: Apply to 46% of images
Hue: Between -104° and +104°
Saturation: Between -64% and +64%
Brightness: Between -42% and +42%
Exposure: Between -16% and +16%
Cutout: 5 boxes with 10% size each