Dataset Versions

v5

2024-09-11 9:59am

Generated on Sep 11, 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%
2796Images
Valid Set 8%
265Images
Test Set 4%
132Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 415x415

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -32% and +32%
Brightness: Between -40% and +40%
Exposure: Between -19% and +19%
Blur: Up to 4px

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