Dataset Versions

v1

2024-10-22 6:16pm

Generated on Oct 22, 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%
1038Images
Valid Set 8%
99Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied
Static Crop: 6-75% Horizontal Region, 36-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 21% of images
Hue: Between -23° and +23°
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.7px
Noise: Up to 0.46% of pixels