Dataset Versions

v34

2023-06-16 6:25pm

Generated on Jun 16, 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 92%
9567Images
Valid Set 4%
400Images
Test Set 4%
401Images

Preprocessing

Static Crop: 7-94% Horizontal Region, 0-100% Vertical Region
Modify Classes: 8 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -33% and +33%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -8° and +8°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 1.75px
Bounding Box: Noise: Up to 3% of pixels