Dataset Versions

v2

2022-10-08 10:43am

Generated on Oct 8, 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 96%
3072Images
Valid Set 2%
58Images
Test Set 3%
82Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 4 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±45° Horizontal, ±30° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Cutout: 5 boxes with 11% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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