Dataset Versions

v6

BC_EVALUATE

Generated on Oct 30, 2023

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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
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Dataset Split

Train Set 87%
2496Images
Valid Set 8%
238Images
Test Set 4%
120Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Brightness: Between -27% and +27%
Blur: Up to 5px
Noise: Up to 5% of pixels
Mosaic: Applied

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