Dataset Versions

v4

2024-06-15 2:22am

Generated on Jun 15, 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 97%
13905Images
Valid Set 2%
266Images
Test Set 1%
132Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 5
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.25% of pixels

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