Dataset Versions

v6

2022-12-23 10:34pm

Generated on Dec 23, 2022

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 90%
6198Images
Valid Set 6%
391Images
Test Set 4%
274Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 44% Maximum Zoom
Rotation: Between -39° and +39°
Grayscale: Apply to 30% of images
Brightness: Between -46% and +46%
Blur: Up to 2.25px
Noise: Up to 7% of pixels
Cutout: 11 boxes with 7% size each

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