Dataset Versions

v1

2023-08-14 10:26am

Generated on Aug 14, 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.
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Dataset Split

Train Set 88%
537Images
Valid Set 8%
49Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±22° Horizontal, ±22° Vertical
Grayscale: Apply to 43% of images
Hue: Between -76° and +76°
Saturation: Between -75% and +75%
Brightness: Between -50% and +50%
Exposure: Between -35% and +35%
Blur: Up to 4px
Noise: Up to 10% of pixels
Cutout: 12 boxes with 15% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 25% Maximum Zoom
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±22° Horizontal, ±22° Vertical
Bounding Box: Brightness: Between -35% and +35%
Bounding Box: Exposure: Between -40% and +40%
Bounding Box: Blur: Up to 4.5px
Bounding Box: Noise: Up to 10% of pixels

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