Dataset Versions

v3

2022-11-08 9:19pm

Generated on Nov 9, 2022

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%
183Images
Valid Set 8%
17Images
Test Set 5%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -14° and +14°
Shear: ±0° Horizontal, ±27° Vertical
Noise: Up to 7% of pixels
Cutout: 5 boxes with 27% size each
Bounding Box: Rotation: Between -9° and +9°
Bounding Box: Brightness: Between -27% and +27%
Bounding Box: Blur: Up to 10px

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