Dataset Versions

v2

2022-10-10 10:18pm

Generated on Oct 10, 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 89%
1044Images
Valid Set 8%
90Images
Test Set 4%
44Images

Preprocessing

Auto-Orient: Applied
Static Crop: 18-83% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 1000x1000
Modify Classes: 0 remapped, 12 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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