Dataset Versions

v1

2023-03-23 7:59pm

Generated on Mar 24, 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 86%
810Images
Valid Set 9%
82Images
Test Set 5%
48Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -16% and +16%
Blur: Up to 12px
Noise: Up to 3% of pixels