Dataset Versions

v5

2023-10-03 4:06pm

Generated on Oct 3, 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.
Other Formats
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Dataset Split

Train Set 87%
180Images
Valid Set 6%
13Images
Test Set 6%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -40% and +40%
Exposure: Between -15% and +15%
Blur: Up to 0.75px