Dataset Versions

v19

2024-04-23 11:27pm

Generated on Apr 23, 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.
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Dataset Split

Train Set 53%
1116Images
Valid Set %
0Images
Test Set 47%
1001Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±25° Vertical
Grayscale: Apply to 21% of images
Hue: Between -25° and +25°
Saturation: Between -27% and +27%
Brightness: Between -25% and +25%
Exposure: Between -23% and +23%
Blur: Up to 4.9px
Noise: Up to 3.4% of pixels
Cutout: 24 boxes with 3% size each
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.3px
Bounding Box: Noise: Up to 1.42% of pixels

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