Dataset Versions

v4

2023-06-11 3:27pm

Generated on Jun 11, 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 97%
1473Images
Valid Set 2%
38Images
Test Set 1%
15Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -50° and +50°
Saturation: Between -50% and +50%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 15 boxes with 5% size each
Mosaic: Applied
Bounding Box: Flip: Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 5% of pixels