Dataset Versions

v2

2022-08-15 1:52pm

Generated on Aug 15, 2022

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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1917 Total Images

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Dataset Split

Train Set 87%
1677Images
Valid Set 8%
156Images
Test Set 4%
84Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x416

Augmentations

Outputs per training example: 3
Flip: Vertical
Crop: 27% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±45° Horizontal, ±37° Vertical
Brightness: Between -40% and +40%
Blur: Up to 2.75px
Noise: Up to 4% of pixels
Cutout: 10 boxes with 10% size each