Dataset Versions

v2

2024-10-12 2:48pm

Generated on Oct 12, 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%
2571Images
Valid Set 8%
245Images
Test Set 4%
122Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -22% and +22%
Blur: Up to 0.8px
Noise: Up to 1.88% of pixels

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