Dataset Versions

v18

2024-06-19 10:40am

Generated on Jun 19, 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 93%
444Images
Valid Set 4%
17Images
Test Set 3%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 850x750
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±15° Vertical
Grayscale: Apply to 17% of images
Hue: Between -111° and +111°
Saturation: Between -64% and +64%
Brightness: Between -34% and +34%
Exposure: Between -23% and +23%
Blur: Up to 2.8px
Noise: Up to 1.85% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Noise: Up to 0.81% of pixels

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