Dataset Versions

v1

2022-09-19 2:16pm

Generated on Sep 19, 2022

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 87%
4158Images
Valid Set 8%
397Images
Test Set 4%
199Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -40% and +40%
Brightness: Between -40% and +40%
Exposure: Between -30% and +30%
Blur: Up to 3.5px
Noise: Up to 10% of pixels

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