Dataset Versions

v2

2023-06-28 8:05pm

Generated on Jun 29, 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%
924Images
Valid Set 8%
80Images
Test Set 4%
47Images

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 -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 3% of pixels
Cutout: 5 boxes with 10% size each

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