Dataset Versions

v1

bfgm v1 -2-11-23-

Generated on Nov 2, 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.
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Dataset Split

Train Set 88%
1059Images
Valid Set 8%
102Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 100% of images
Saturation: Between -50% and +50%
Brightness: Between -46% and +46%
Exposure: Between -36% and +36%
Blur: Up to 3.5px
Noise: Up to 10% of pixels

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