Dataset Versions

v8

2024-04-12 2:21pm

Generated on Apr 12, 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 87%
1234Images
Valid Set 8%
118Images
Test Set 4%
59Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-60% Horizontal Region, 24-62% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Blur: Up to 1.7px