Dataset Versions

v3

2022-07-01 11:26am

Generated on Jul 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.
Other Formats
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Dataset Split

Train Set 86%
447Images
Valid Set 8%
40Images
Test Set 7%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -22° and +22°
Shear: ±24° Horizontal, ±24° Vertical
Blur: Up to 2px
Noise: Up to 4% of pixels
Cutout: 2 boxes with 26% size each
Bounding Box: Brightness: Between -16% and +16%

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