Dataset Versions

v4

2024-03-14 1:59am

Generated on Mar 13, 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 88%
8340Images
Valid Set 8%
799Images
Test Set 4%
384Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 15% of images
Hue: Between -35° and +35°
Saturation: Between -26% and +26%
Brightness: Between -22% and +22%
Exposure: Between -24% and +24%

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