Dataset Versions

v4

2023-10-31 2:01pm

Generated on Oct 31, 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.
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Dataset Split

Train Set 87%
1455Images
Valid Set 8%
139Images
Test Set 4%
69Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 864x864
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -91° and +91°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Mosaic: Applied
Bounding Box: Brightness: Between -20% and +20%

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