Dataset Versions

v6

2024-01-20 5:00pm

Generated on Jan 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 93%
2355Images
Valid Set 5%
117Images
Test Set 2%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -17° and +17°
Shear: ±22° Horizontal, ±23° Vertical
Blur: Up to 1.6px
Noise: Up to 4.69% of pixels
Mosaic: Applied