Dataset Versions

v2

2023-12-30 8:20pm

Generated on Dec 30, 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 85%
6072Images
Valid Set 7%
500Images
Test Set 8%
604Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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