Dataset Versions

v1

2023-08-09 7:33pm

Generated on Aug 9, 2023

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.
Other Formats
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Dataset Split

Train Set 88%
7203Images
Valid Set 8%
683Images
Test Set 4%
343Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±25° Horizontal, ±13° Vertical
Saturation: Between -71% and +71%
Exposure: Between -26% and +26%
Blur: Up to 2px
Noise: Up to 20% of pixels
Cutout: 14 boxes with 13% size each