Dataset Versions

v5

2024-04-22 11:37pm

Generated on Apr 22, 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 85%
648Images
Valid Set 10%
74Images
Test Set 5%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -9° and +9°
Shear: ±11° Horizontal, ±11° Vertical
Brightness: Between -12% and +12%
Exposure: Between -14% and +14%
Blur: Up to 1.6px

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