Dataset Versions

v1

2022-11-27 4:17pm

Generated on Nov 27, 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.
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Dataset Split

Train Set 88%
711Images
Valid Set 7%
60Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -33° and +33°
Saturation: Between -79% and +79%
Exposure: Between -21% and +21%
Noise: Up to 2% of pixels
Cutout: 25 boxes with 4% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical

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