Dataset Versions

v11

Full_set_17val_10Test

Generated on Dec 16, 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
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Dataset Split

Train Set 73%
435Images
Valid Set 17%
100Images
Test Set 10%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Saturation: Between -38% and +38%
Brightness: Between 0% and +14%
Exposure: Between -5% and +5%
Blur: Up to 2.25px
Bounding Box: Rotation: Between -7° and +7°

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