Dataset Versions

v14

2022-11-21 10:27pm

Generated on Nov 21, 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 87%
225Images
Valid Set 7%
18Images
Test Set 6%
15Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Modify Classes: 3 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise
Crop: 0% Minimum Zoom, 66% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±17° Horizontal, ±9° Vertical
Grayscale: Apply to 40% of images
Brightness: Between -23% and +23%
Blur: Up to 7px
Mosaic: Applied

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