Dataset Versions

v1

2022-08-05 10:17pm

Generated on Aug 6, 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 88%
7695Images
Valid Set 8%
731Images
Test Set 4%
351Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -3° and +3°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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