Dataset Versions

v1

2024-06-10 7:12am

Generated on Jun 10, 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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1 Total Images

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Dataset Split

Train Set %
0Images
Valid Set %
0Images
Test Set 100%
1Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-73% Horizontal Region, 19-61% Vertical Region
Dynamic Crop: Class: Box
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±26° Horizontal, ±22° Vertical
Saturation: Between -33% and +33%
Brightness: Between -26% and +26%
Noise: Up to 0.65% of pixels
Cutout: 8 boxes with 18% size each

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