Dataset Versions

v19

2024-09-07 1:35pm

Generated on Sep 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 88%
5019Images
Valid Set 8%
479Images
Test Set 4%
238Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±1° Horizontal, ±14° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Blur: Up to 2.4px
Noise: Up to 1.96% of pixels

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