Dataset Versions

v4

last update

Generated on Jul 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 75%
1803Images
Valid Set 13%
319Images
Test Set 12%
281Images

Preprocessing

Auto-Orient: Applied
Static Crop: 37-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±12° Horizontal, ±14° Vertical
Saturation: Between -27% and +27%

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