Dataset Versions

v1

2024-07-24 7:41am

Generated on Jul 24, 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 95%
6912Images
Valid Set 3%
221Images
Test Set 2%
109Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -4° and +4°
Shear: ±5° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -7° and +7°
Saturation: Between -10% and +10%
Brightness: Between -2% and +2%
Exposure: Between -5% and +5%

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