Dataset Versions

v6

2023-05-17 10:24pm

Generated on May 17, 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 96%
22794Images
Valid Set 3%
604Images
Test Set 1%
327Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Cutout: 7 boxes with 2% size each
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -69% and +69%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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