Dataset Versions

v14

2022-08-01 1:10pm

Generated on Aug 1, 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 81%
1437Images
Valid Set 14%
244Images
Test Set 5%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Cutout: 3 boxes with 10% size each
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 1% of pixels

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