Dataset Versions

v1

2022-12-30 12:40pm

Generated on Dec 30, 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 86%
4107Images
Valid Set 9%
430Images
Test Set 5%
249Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±11° Horizontal, ±11° Vertical
Brightness: Between -20% and +20%
Blur: Up to 1px

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