Dataset Versions

v2

2024-06-25 2:09pm

Generated on Jun 25, 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 90%
588Images
Valid Set 6%
40Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 720x640

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±14° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.2px
Cutout: 10 boxes with 5% size each
Bounding Box: Noise: Up to 1.5% of pixels

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