Dataset Versions

v1

2024-06-28 11:22am

Generated on Jun 28, 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 95%
560Images
Valid Set 3%
20Images
Test Set 2%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Shear: ±30° Horizontal, ±30° Vertical
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Noise: Up to 3.03% of pixels