Dataset Versions

v2

2024-11-22 3:52pm

Generated on Nov 22, 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 93%
1122Images
Valid Set 7%
80Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 3-78% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Blur: Up to 2.5px

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