Dataset Versions

v4

2024-05-11 4:22pm

Generated on May 11, 2024

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%
10581Images
Valid Set 8%
1006Images
Test Set 4%
504Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -17° and +17°
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 0.69% of pixels

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