Dataset Versions

v18

NURIHO220616

Generated on Jun 15, 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 85%
288Images
Valid Set 14%
46Images
Test Set 1%
4Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 10% of pixels
Bounding Box: Exposure: Between -25% and +25%

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