Dataset Versions

v22

2024-10-10 5:29pm

Generated on Oct 10, 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 95%
14454Images
Valid Set 5%
692Images
Test Set 0%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±7° Vertical
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Noise: Up to 0.65% of pixels

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