Dataset Versions

v12

2023-07-05 9:12am

Generated on Jul 5, 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 87%
96Images
Valid Set 6%
7Images
Test Set 6%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 54% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±16° Horizontal, ±17° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 11% of pixels

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