Dataset Versions

v1

2022-12-13 5:27pm

Generated on Dec 13, 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 94%
3849Images
Valid Set 4%
151Images
Test Set 2%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -28° and +28°
Shear: ±27° Horizontal, ±23° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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