Dataset Versions

v16

2024-08-30 2:24pm

Generated on Aug 30, 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 88%
8385Images
Valid Set 8%
797Images
Test Set 4%
399Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x1280

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±6° Vertical
Hue: Between -15° and +15°
Brightness: Between -12% and +12%
Blur: Up to 0.8px

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