Dataset Versions

v10

minimal Augmentation

Generated on Nov 15, 2024

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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 88%
3621Images
Valid Set 8%
345Images
Test Set 4%
171Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 10% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -12° and +12°
Brightness: Between -18% and +18%

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