Dataset Versions

v4

2023-09-17 7:38pm

Generated on Sep 17, 2023

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 94%
657Images
Valid Set 4%
26Images
Test Set 2%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x300
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±31° Horizontal, ±23° Vertical
Grayscale: Apply to 50% of images
Brightness: Between -50% and +50%
Noise: Up to 6% of pixels
Cutout: 10 boxes with 16% size each

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