Dataset Versions

v1

2024-04-13 3:04pm

Generated on Apr 13, 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 89%
474Images
Valid Set 8%
41Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 11-95% Horizontal Region, 6-100% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Exposure: Between -14% and +14%
Blur: Up to 4.2px
Noise: Up to 1.72% of pixels

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