Dataset Versions

v6

2024-02-15 6:12pm

Generated on Feb 15, 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 87%
348Images
Valid Set 8%
32Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-85% Horizontal Region, 25-77% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
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, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 24% of images
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 4.8px
Noise: Up to 1.76% of pixels