Dataset Versions

v1

2024-05-27 6:54pm

Generated on May 27, 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 85%
4092Images
Valid Set 9%
414Images
Test Set 6%
307Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -34° and +34°
Brightness: Between -15% and +15%
Noise: Up to 0.22% of pixels

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