Dataset Versions

v6

2023-01-26 4:56pm

Generated on Jan 26, 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.
Other Formats
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Dataset Split

Train Set 88%
366Images
Valid Set 7%
31Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 50-100% Vertical Region
Resize: Stretch to 720x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 10% of pixels