Dataset Versions

v1

2022-11-23 12:07pm

Generated on Nov 23, 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 90%
240Images
Valid Set 7%
19Images
Test Set 3%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -17° and +17°
Shear: ±17° Horizontal, ±18° Vertical
Brightness: Between -38% and +38%
Blur: Up to 6.25px
Noise: Up to 9% of pixels
Cutout: 9 boxes with 15% size each
Mosaic: Applied

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