Dataset Versions

v2

2023-04-04 10:41am

Generated on Apr 4, 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 95%
8610Images
Valid Set 3%
267Images
Test Set 2%
145Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -10% and +10%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 1px
Cutout: 5 boxes with 2% size each