Dataset Versions

v1

2023-09-12 10:28pm

Generated on Sep 13, 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 89%
15249Images
Valid Set 7%
1242Images
Test Set 4%
646Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -19° and +19°
Hue: Between -24° and +24°
Saturation: Between -30% and +30%
Brightness: Between -40% and +0%
Blur: Up to 2px
Noise: Up to 5% of pixels
Bounding Box: Blur: Up to 1px