Dataset Versions

v26

2024-04-09 10:15pm

Generated on Apr 9, 2024

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 85%
1386Images
Valid Set 10%
167Images
Test Set 4%
69Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 320x320
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -12° and +12°
Saturation: Between -20% and +20%
Brightness: Between -12% and +12%
Exposure: Between -6% and +6%
Blur: Up to 0.7px
Noise: Up to 1.03% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -12% and +12%
Bounding Box: Exposure: Between -6% and +6%
Bounding Box: Blur: Up to 0.7px
Bounding Box: Noise: Up to 1.01% of pixels