Dataset Versions

v2

2023-01-30 2:19am

Generated on Jan 30, 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.
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Dataset Split

Train Set 88%
2310Images
Valid Set 8%
220Images
Test Set 4%
110Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 4px
Noise: Up to 5% of pixels
Mosaic: Applied

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