Dataset Versions

v6

2023-02-21 11:26pm

Generated on Feb 21, 2023

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.
Other Formats
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Dataset Split

Train Set 86%
2562Images
Valid Set 9%
275Images
Test Set 5%
138Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -3° and +3°
Shear: ±5° Horizontal, ±5° Vertical
Blur: Up to 1.75px
Noise: Up to 3% of pixels
Bounding Box: Blur: Up to 2.25px