Dataset Versions

v12

2024-12-17 4:04pm

Generated on Dec 17, 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.
Other Formats
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Dataset Split

Train Set 94%
15253Images
Valid Set 4%
624Images
Test Set 2%
310Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
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