Dataset Versions

v6

2023-05-16 8:26pm

Generated on May 16, 2023

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 84%
9932Images
Valid Set 12%
1414Images
Test Set 4%
506Images

Preprocessing

Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Rotation: Between -3° and +3°
Shear: ±1° Horizontal, ±1° Vertical
Saturation: Between -10% and +10%
Exposure: Between -6% and +6%
Blur: Up to 1px
Noise: Up to 0% of pixels
Bounding Box: Flip: Horizontal, Vertical