Dataset Versions

v1

2022-08-30 9:05am

Generated on Aug 30, 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 87%
207Images
Valid Set 6%
15Images
Test Set 6%
15Images

Preprocessing

Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 55% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±17° Horizontal, ±17° Vertical
Exposure: Between -17% and +17%
Blur: Up to 2.25px
Noise: Up to 9% of pixels

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