Dataset Versions

v1

2024-05-13 3:17pm

Generated on May 13, 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%
3729Images
Valid Set 8%
353Images
Test Set 4%
178Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x600

Augmentations

Outputs per training example: 3
Hue: Between -100° and +100°
Brightness: Between -40% and +40%
Noise: Up to 10% of pixels
Cutout: 15 boxes with 14% size each

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