Dataset Versions

v3

2024-06-29 8:12am

Generated on Jun 29, 2024

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.
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Dataset Split

Train Set 70%
372Images
Valid Set 22%
119Images
Test Set 8%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -4° and +4°
Shear: ±13° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 1.4px
Noise: Up to 1.64% of pixels

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