Dataset Versions

v7

2023-09-18 1:41am

Generated on Sep 18, 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 92%
1320Images
Valid Set 4%
55Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
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
Grayscale: Apply to 50% of images
Hue: Between -45° and +45°
Saturation: Between -50% and +50%
Exposure: Between -12% and +12%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°

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