Dataset Versions

v7

2022-07-04 8:11pm

Generated on Jul 4, 2022

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 91%
5343Images
Valid Set 8%
463Images
Test Set 1%
57Images

Preprocessing

Static Crop: 11-85% Horizontal Region, 14-86% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Noise: Up to 4% of pixels