Dataset Versions

v2

2023-02-14 12:30pm

Generated on Feb 14, 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%
1569Images
Valid Set 8%
148Images
Test Set 4%
75Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 5% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±36° Horizontal, ±45° Vertical
Hue: Between -65° and +65°
Saturation: Between -25% and +25%
Brightness: Between -45% and +45%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -22° and +22°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -34% and +34%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 3% of pixels

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