Dataset Versions

v6

2024-11-17 7:48pm

Generated on Nov 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.
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Dataset Split

Train Set 92%
22510Images
Valid Set 4%
983Images
Test Set 4%
960Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Rotation: Between -12° and +12°
Shear: ±3° Horizontal, ±11° Vertical
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -6% and +6%
Blur: Up to 0.8px
Noise: Up to 0.41% of pixels

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