Dataset Versions

v4

2024-09-22 12:58pm

Generated on Sep 22, 2024

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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 83%
13518Images
Valid Set 9%
1525Images
Test Set 8%
1246Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -15° and +15°

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