Dataset Versions

v14

2024-04-13 3:11pm

Generated on Apr 13, 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 82%
5954Images
Valid Set 14%
1018Images
Test Set 3%
248Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -16° and +16°
Exposure: Between -10% and +10%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.1% of pixels

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