Dataset Versions

v6

bccd-ver1280

Generated on May 31, 2021

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%
765Images
Valid Set 8%
73Images
Test Set 4%
36Images

Preprocessing

Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%

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