Dataset Versions

v6

2023-11-08 9:37am

Generated on Nov 8, 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 84%
165Images
Valid Set 11%
21Images
Test Set 5%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 256x256

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -45° and +45°
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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