Dataset Versions

v1

2022-11-01 5:22am

Generated on Nov 1, 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 88%
2862Images
Valid Set 8%
265Images
Test Set 4%
134Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Shear: ±7° Horizontal, ±7° Vertical
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 2.75px
Noise: Up to 5% of pixels
Cutout: 25 boxes with 2% size each

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