Dataset Versions

v1

2021-08-27 2:07am

Generated on Aug 26, 2021

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 82%
354Images
Valid Set 9%
38Images
Test Set 9%
38Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -40% and +40%
Brightness: Between -35% and +35%
Exposure: Between -20% and +20%
Noise: Up to 5% of pixels
Bounding Box: Noise: Up to 5% of pixels

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