Dataset Versions

v1

2023-11-14 1:10pm

Generated on Nov 14, 2023

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%
177Images
Valid Set 8%
17Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 12-66% Horizontal Region, 32-71% Vertical Region
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -16% and +16%
Cutout: 7 boxes with 13% size each
Bounding Box: Noise: Up to 8% of pixels

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