Dataset Versions

v3

2024-08-15 12:00pm

Generated on Aug 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 82%
1378Images
Valid Set 12%
197Images
Test Set 6%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 2
Saturation: Between -34% and +34%
Exposure: Between -15% and +15%
Noise: Up to 1.01% of pixels
Cutout: 6 boxes with 11% size each

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