Dataset Versions

v2

2022-12-20 5:10pm

Generated on Dec 20, 2022

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 94%
75Images
Valid Set 4%
3Images
Test Set 3%
2Images

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, 55% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 43% of images
Hue: Between -83° and +83°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 8% of pixels
Cutout: 16 boxes with 10% size each

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