Dataset Versions

v1

BISINDOV1

Generated on May 17, 2022

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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%
19413Images
Valid Set 6%
1382Images
Test Set 6%
1373Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 244x244
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±13° Horizontal, ±13° Vertical
Exposure: Between -27% and +27%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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