Dataset Versions

v5

2023-04-12 5:34pm

Generated on Apr 12, 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.
Other Formats
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Dataset Split

Train Set 90%
2232Images
Valid Set 8%
198Images
Test Set 2%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 800x800
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -23° and +23°
Grayscale: Apply to 50% of images
Hue: Between -70° and +70°
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 8% of pixels
Cutout: 1 boxes with 5% size each

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