Dataset Versions

v4

2022-09-01 10:58am

Generated on Sep 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 82%
213Images
Valid Set 9%
23Images
Test Set 10%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -38% and +38%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 6% of pixels

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