Dataset Versions

v2

2024-06-27 3:58pm

Generated on Jun 27, 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 94%
2592Images
Valid Set 4%
102Images
Test Set 2%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±14° Vertical
Brightness: Between -20% and +20%
Blur: Up to 2.5px

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