Dataset Versions

v1

new dataset

Generated on Nov 9, 2021

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 82%
420Images
Valid Set 12%
62Images
Test Set 6%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 224x224
Modify Classes: 0 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Exposure: Between -9% and +9%

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