Dataset Versions

v3

2024-07-20 7:13pm

Generated on Jul 20, 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%
3437Images
Valid Set 6%
215Images
Test Set 2%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.5px