Dataset Versions

v3

2022-07-05 2:00pm

Generated on Jul 5, 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%
258Images
Valid Set 8%
23Images
Test Set 5%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -26° and +26°
Grayscale: Apply to 100% of images
Exposure: Between -50% and +50%
Blur: Up to 3px
Noise: Up to 10% of pixels

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