Dataset Versions

v6

2024-08-29 3:51am

Generated on Aug 29, 2024

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 83%
30Images
Valid Set 8%
3Images
Test Set 8%
3Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-74% Vertical Region
Resize: Stretch to 720x720

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%
Blur: Up to 2.5px

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