Dataset Versions

v1

2023-04-06 9:04pm

Generated on Apr 6, 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%
7560Images
Valid Set 8%
711Images
Test Set 5%
433Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 10% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -30° and +30°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 1px
Cutout: 6 boxes with 15% size each

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