Dataset Versions

v1

2023-01-22 1:32am

Generated on Jan 22, 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%
3792Images
Valid Set 8%
360Images
Test Set 4%
181Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -14% and +14%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 13 boxes with 10% size each

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