Dataset Versions

v3

2022-09-03 12:28am

Generated on Sep 2, 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 87%
1515Images
Valid Set 8%
143Images
Test Set 4%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Shear: ±20° Horizontal, ±20° Vertical
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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