Dataset Versions

v9

2024-04-22 9:42pm

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 94%
9688Images
Valid Set 4%
397Images
Test Set 2%
196Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.6px
Noise: Up to 1.68% of pixels

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