Dataset Versions

v10

2023-11-14 8:52pm

Generated on Nov 15, 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 69%
2940Images
Valid Set 19%
817Images
Test Set 12%
490Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1920x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 3.5px
Noise: Up to 7% of pixels

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