Dataset Versions

v3

2024-06-07 6:59pm

Generated on Jun 7, 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 87%
2844Images
Valid Set 9%
280Images
Test Set 4%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1000x1000
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 7% of images
Hue: Between -19° and +19°
Saturation: Between -28% and +28%
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%
Blur: Up to 1.1px
Noise: Up to 0.54% of pixels

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