Dataset Versions

v12

V4 - aug

Generated on Jan 8, 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 87%
5028Images
Valid Set 9%
493Images
Test Set 4%
260Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±12° Horizontal, ±12° Vertical
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 3px
Noise: Up to 8% of pixels
Cutout: 10 boxes with 5% size each