Dataset Versions

v3

2022-10-08 10:18am

Generated on Oct 8, 2022

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 88%
1737Images
Valid Set 8%
165Images
Test Set 4%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 854x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels

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