Dataset Versions

v1

2024-05-16 6:26pm

Generated on May 16, 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%
1530Images
Valid Set 8%
146Images
Test Set 4%
73Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 24-75% Vertical Region
Resize: Fit within 640x480

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical