Dataset Versions

v4

yen

Generated on Nov 16, 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 92%
22510Images
Valid Set 4%
983Images
Test Set 4%
960Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
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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