Dataset Versions

v26

2024-02-20 8:35pm

Generated on Feb 20, 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 92%
3219Images
Valid Set 4%
142Images
Test Set 4%
131Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -19% and +19%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.7px
Noise: Up to 0.5% of pixels

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