Dataset Versions

v3

2022-07-20 7:27pm

Generated on Jul 20, 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.
Other Formats
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Dataset Split

Train Set 87%
999Images
Valid Set 8%
97Images
Test Set 4%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -40% and +40%
Exposure: Between -9% and +9%
Blur: Up to 3.25px
Noise: Up to 1% of pixels