Dataset Versions

v2

2024-11-07 5:56am

Generated on Nov 7, 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 70%
1400Images
Valid Set 15%
294Images
Test Set 15%
293Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±4° Horizontal, ±3° Vertical
Brightness: Between -8% and +8%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 0.97% of pixels

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