Dataset Versions

v12

2023-03-22 5:23pm

Generated on Mar 22, 2023

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 92%
9978Images
Valid Set 8%
810Images
Test Set %
0Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 1.5px
Noise: Up to 2% of pixels

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