Dataset Versions

v41

2024-04-19 10:42pm

Generated on Apr 19, 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.
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Dataset Split

Train Set 86%
3393Images
Valid Set 9%
339Images
Test Set 6%
226Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 900x900

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 1.53% of pixels
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between 0% and +7%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.21% of pixels

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